AndrewAnnex/Rgb_encode_mars.ipynb

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## Rgb_encode_mars.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c241a533-5557-45d9-8224-924f641b0900",
   "metadata": {},
   "source": [
    "# RGB terrain encodings for major rocky planets (and the moon)\n",
    "\n",
    "RGB terrain tiles encode lossy 32/64bit float elevation values with 24bits of information contained in the 3 8bit channels that RGB images are able to represent. 24bits has a range of 16,777,216 unique values, meaning we can lossely encode typical elevation ranges for all major rocky planets (and the moon) up to that level of precision. Below I determine that for most rocky planets we can encode elevation information with better than 2 mm of precision (0.002 m) which is very precise, and in-fact is more precise than most elevation data we even have for the planets (other than for the Earth, and elevation models made by the Mars rovers). \n",
    "\n",
    "The schema for RGB encoding terrain is only defined by two parameters:a minimum possible elevation in meters (should be lower than any true lowest surface point), and a resolution in meters. Knowing the maximum possible elevation is needed to compute the finest resolution achievable by 24bits, but isn't needed really for users. Some rounding up of the precision and rounding down of the lowest possible elevation ensures that all real topography can be resolved by the RGB encoding with some margin.  \n",
    "\n",
    "With these parameters, it is fairly easy to encode and decode elevation data. At the end I go ahead and come up with reasonable encodings for the major rocky planets and write out some json that could be incorporated into downstream libraries. \n",
    "\n",
    "\n",
    "Towards the middle I explore the idea of defining encodings for individual Mars Quads (MC) but that can be ignored and then I accidently deleted it.\n",
    "\n",
    "\n",
    "#### Because this is very related to histogram binning, I should review that information. \n",
    "\n",
    "The resolution could be worse than advertised as you may push a value up or down a bin depending on it's value and how we quantize things.\n",
    "\n",
    "also think about quantization (https://www.cis.rit.edu/class/simg712-90/notes/14-Quantization.pdf)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "97c390d0-df88-43c1-86ed-db4315ccf5a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import astropy.units as u\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6ca1782e-a291-4e40-9559-9bad641d9dea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://github.com/mapbox/rio-rgbify"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7a9b2ef6-fa67-4e9a-bbac-ad4e657fa8b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$30 \\; \\mathrm{km}$"
      ],
      "text/plain": [
       "<Quantity 30. km>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_elevation = -8.5 * u.km \n",
    "max_elevation = 21.5 * u.km \n",
    "range_elevation = max_elevation - min_elevation\n",
    "range_elevation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e06b561b-1552-4723-8806-0f79550f4f0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16777215"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base_256_3 = 256**3 -1\n",
    "base_256_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "722d6a9e-a517-4912-b8d0-7b33bd81333f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Quantity 0.00178814 m>, <Quantity 1.78813945 mm>)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_resolution = range_elevation/base_256_3\n",
    "total_resolution.to(u.m), total_resolution.to(u.mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8815bbcb-eafd-4158-8dad-5c4d8f30bdea",
   "metadata": {},
   "source": [
    "so by default and with a 300 meter margin we can represent mars to 1.788mm resolution from top to bottom\n",
    "\n",
    "If we divide the topography range in half, 15km, we can get to better than 1mm resolution \n",
    "\n",
    "note for the moon the total topography is only about 13km from -6km to 7km"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "73571383-b72b-40a9-8386-4e566350ffc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0017881394498431354"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_resolution.to(u.m).value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "acdc86ba-85c0-4f17-97cf-4a5083ec6084",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$12023671 \\; \\mathrm{}$"
      ],
      "text/plain": [
       "<Quantity 12023670.75>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_elevation / total_resolution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "570332c9-2f83-4a0c-a4da-46d0fca22907",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-2944.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.around(-2940.232453/ 2 **5) * 2**5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a7612e0c-3ab6-45ee-8f3b-9290646844ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "minz=float(min_elevation.to(u.m).value)\n",
    "resolution=float(total_resolution.to(u.m).value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a114916b-e0d1-409c-9509-b01677b5fcdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "65536"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "256*256"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3141c352-98b8-4442-89fa-b39cc2cc4eb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$1.7881394 \\; \\mathrm{mm}$"
      ],
      "text/plain": [
       "<Quantity 1.78813945 mm>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(resolution*u.m).to(u.mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8abee4d4-f566-4f1b-9f14-85c804c80475",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "256"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.left_shift(1,8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bf90cec8-026e-4ddf-92b1-9788ebe759d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "512"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2*2**8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0c6648d7-eac3-4b25-88ce-ef576fb6bca9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "65536"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(2 <<16 )// 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "106c2bea-1016-4e1b-8f6b-6e7b05d4b991",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "256"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(2 << 8)// 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f65f3b77-f805-4405-8cb9-0399fb1c1370",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "65536"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2**16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "54c4378b-1933-4b23-b442-bb17c66b89b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def encode_to_rgb(z, minz=minz, resolution=resolution):\n",
    "    z -= minz\n",
    "    z /= resolution\n",
    "    d_z = z / 256\n",
    "    dd_z = z // 256\n",
    "    ddd_z = dd_z // 256\n",
    "    b = (d_z - dd_z) * 256\n",
    "    g = ((dd_z / 256) - ddd_z) * 256\n",
    "    r = ((ddd_z / 256) - (ddd_z // 256)) * 256\n",
    "    return np.uint8(r), np.uint8(g), np.uint(b)\n",
    "    \n",
    "def to_z(r: int, g: int, b: int, minz=minz, resolution=resolution):\n",
    "    return minz + ((r * 65536) + (g * 256) + b) * resolution\n",
    "\n",
    "\n",
    "def to_z_fast(r: int, g: int, b: int, minz=minz, resolution=resolution):\n",
    "    return minz + ((r << 16) + (g << 8) + b) * resolution\n",
    "\n",
    "# todo the above may be more efficient using a z or hilbert curve, "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "986cbf76-6fe8-402f-a3a2-d7cdcd209628",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((52, 24, 147), -2395.0004515052115)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encode_to_rgb(-2395.0), to_z(*encode_to_rgb(-2395.0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "078985d9-3e34-40d0-bf23-ae1719c28c51",
   "metadata": {},
   "outputs": [],
   "source": [
    "zr = np.linspace(min_elevation.to(u.m).value, max_elevation.to(u.m).value-resolution, num=10_000, endpoint=False).astype(np.float32)\n",
    "ezr = (encode_to_rgb(_) for _ in zr)\n",
    "dzr = list((to_z(*_) for _ in ezr))\n",
    "delta_z = zr - np.array(dzr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cce876db-5133-4e6b-b576-4b4582c4ee6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "501 ns ± 7.32 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit list((to_z(*_) for _ in ezr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "aae64ff0-ac7a-40ad-81c4-12c02dd5f695",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "497 ns ± 6.72 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit list((to_z_fast(*_) for _ in ezr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2abe88da-e71c-4b96-8770-51374706ea56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10a07d810>]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dPr6arqy7P+DuOe6ek52d9r8CNxn//vcFjVrfX2bte/pcdZjumkoX+K6dXDOl9cHquqP+KBLXQeJav6OENfUE49SDTGN5Nc0I/mDNXNF4o87ElEvts4SDkQikjenBd+oGk7jSnaEdrJcWxxtkRFH7DD5V6plQY4tyxpEP9E553wuofd62vzxZEcruz1hqTVO5+4bwebeZPUkwFfZ4xPqavLxG+EKv3lrMab96Lfn+40Y8SMS1YWfpPnPKh9NXH/7wiKxXpLEcyCxEVFHOOOYAA8ysn5llERzQp9bKMxW4yQIjgSJ3L4hYtg4zawZcS3BNJJGWaWZdwtfNgcsJLrBL6MaHZzdKPalTUQd6yi4iTVeDZxzuXmlmtwMzCG6pfcTdl5jZ+HD5ZGA6wa24eQS3495SX1kAM7sKuA/IBqaZ2Xx3vyRc7TlAvrunXq1sAcwIg0YG8Brw4EH1XkREYov0dxzuPp0gOKSmTU557cBtUcuG6c8Cz+6nzExgZK20YmBYlPaKiMiho78c3w+zdNf1RUREgUNERGJR4NiP1D/qExGRGgocIiISiwKHiIjEosAhIiKxKHCIiEgsChwiIhKLAoeIiMSiwCEiIrEocIiISCwKHCIiEosCh4iIxKLAISIisShwiIhILAocIiISiwKHiIjEosAhIiKxKHCIiEgskQKHmY0ysxVmlmdmE9IsNzObGC5faGZDGyprZtea2RIzqzaznJT0vmZWambzw8fklGXDzGxRWNdE0++7iogcdg0GDjPLAO4HRgODgevNbHCtbKOBAeFjHDApQtnFwNXA22lWu8rdTwkf41PSJ4X1J9Y1KkonRUSk8UQ54xgO5Ln7ancvB6YAY2rlGQM87oFZQEcz615fWXdf5u4rojY0rK+9u3/g7g48DlwZtbyIiDSOKIGjJ7A+5X1+mBYlT5Sy6fQzs3lm9paZnZ2yjvwodZnZODPLNbPcwsLCCKsTEZGoogSOdNcRPGKeKGVrKwD6uPupwPeAJ82sfZy63P0Bd89x95zs7OwGViciInFkRsiTD/ROed8L2BgxT1aEsvtw9zKgLHw918xWAQPDdfSKU5eIiDS+KGccc4ABZtbPzLKAscDUWnmmAjeFd1eNBIrcvSBi2X2YWXZ4UR0zO5bgIvjqsL7dZjYyvJvqJuD56F0VEZHG0OAZh7tXmtntwAwgA3jE3ZeY2fhw+WRgOnApkAeUALfUVxbAzK4C7gOygWlmNt/dLwHOAX5uZpVAFTDe3beHzfkm8GegFfBS+BARkcPIghuUmq6cnBzPzc2NXa7vhGmHoDUiIofP2nsuO+CyZjbX3XPSLdNfjouISCwKHCIiEosCh4iIxKLAISIisShwiIhILAocIiISiwKHiIjEosAhIiKxKHCIiEgsChwiIhKLAoeIiMSiwCEiIrEocIiISCwKHCIiEosCh4iIxKLAISIisShwiIhILAocIiISiwKHiIjEEilwmNkoM1thZnlmNiHNcjOzieHyhWY2tKGyZnatmS0xs2ozy0lJv8jM5prZovD5iynLZoZ1zQ8fXQ+86yIiciAyG8pgZhnA/cBFQD4wx8ymuvvSlGyjgQHhYwQwCRjRQNnFwNXAn2qtcitwhbtvNLMTgBlAz5TlN7h7bvyuiohIY2gwcADDgTx3Xw1gZlOAMUBq4BgDPO7uDswys45m1h3ou7+y7r4sTNtnZe4+L+XtEqClmbVw97ID6J+IiDSyKFNVPYH1Ke/z2fcMoL48UcrW5xpgXq2g8Wg4TXWX1Y46ITMbZ2a5ZpZbWFgYY3UiItKQKIEj3cHZI+aJUjb9Ss2GAPcC30hJvsHdTwTODh9fTVfW3R9w9xx3z8nOzo6yOhERiShK4MgHeqe87wVsjJgnStk6zKwX8Cxwk7uvSqS7+4bweTfwJME0moiIHEZRAsccYICZ9TOzLGAsMLVWnqnATeHdVSOBIncviFh2H2bWEZgG3OHu76WkZ5pZl/B1c+ByggvsIiJyGDUYONy9Erid4O6mZcBT7r7EzMab2fgw23RgNZAHPAh8q76yAGZ2lZnlA6cD08xsRljX7UB/4K5at922AGaY2UJgPrAhXJeIiBxGFtwI1XTl5OR4bm78u3f7Tph2CFojInL4rL3nsgMua2Zz3T0n3TL95biIiMSiwCEiIrEocIiISCwKHCIiEosCh4iIxKLAISIisShwiIhILAocIiISiwKHiIjEosAhIiKxKHCIiEgsChwiIhKLAoeIiMSiwCEiIrEocIiISCwKHCIiEosCh4iIxKLAISIisUQKHGY2ysxWmFmemU1Is9zMbGK4fKGZDW2orJlda2ZLzKzazHJq1XdHmH+FmV2Skj7MzBaFyyaamR1Yt0VE5EA1GDjMLAO4HxgNDAauN7PBtbKNBgaEj3HApAhlFwNXA2/XWt9gYCwwBBgF/DGsh7DecSnrGhWjryIi0giinHEMB/LcfbW7lwNTgDG18owBHvfALKCjmXWvr6y7L3P3FWnWNwaY4u5l7r4GyAOGh/W1d/cP3N2Bx4ErY/dYREQOSpTA0RNYn/I+P0yLkidK2ajr6xm+brAuMxtnZrlmlltYWNjA6kREJI4ogSPddQSPmCdK2ajri1yXuz/g7jnunpOdnd3A6kREJI7MCHnygd4p73sBGyPmyYpQNur68sPXceoSEZFGFuWMYw4wwMz6mVkWwYXrqbXyTAVuCu+uGgkUuXtBxLK1TQXGmlkLM+tHcBH8w7C+3WY2Mryb6ibg+agdFRGRxtHgGYe7V5rZ7cAMIAN4xN2XmNn4cPlkYDpwKcGF7BLglvrKApjZVcB9QDYwzczmu/slYd1PAUuBSuA2d68Km/NN4M9AK+Cl8CEiIoeRBTcoNV05OTmem5sbu1zfCdMOQWtERA6ftfdcdsBlzWyuu+ekW6a/HBcRkVgUOEREJBYFDhERiUWBQ0REYlHgEBGRWBQ4REQkFgUOERGJRYFDRERiUeAQEZFYFDhERCQWBQ4REYlFgUNERGJR4BARkVgUOEREJBYFDhERiUWBQ0REYlHgEBGRWBQ4RESaqEP1C68KHCIiEkukwGFmo8xshZnlmdmENMvNzCaGyxea2dCGyppZZzN71cxWhs+dwvQbzGx+yqPazE4Jl80M60os63rQW0BERGJpMHCYWQZwPzAaGAxcb2aDa2UbDQwIH+OASRHKTgBed/cBwOvhe9z9CXc/xd1PAb4KrHX3+SnruiGx3N23xO+yiIgcjChnHMOBPHdf7e7lwBRgTK08Y4DHPTAL6Ghm3RsoOwZ4LHz9GHBlmnVfD/w1TodEROTQihI4egLrU97nh2lR8tRXtpu7FwCEz+mmna6jbuB4NJymusvMLF2DzWycmeWaWW5hYeH+eyYiIrFFCRzpDs61L9XvL0+UsulXajYCKHH3xSnJN7j7icDZ4eOr6cq6+wPunuPuOdnZ2VFWJyIiEUUJHPlA75T3vYCNEfPUV3ZzOJ1F+Fz7esVYap1tuPuG8Hk38CTBVJiIiKRxiO7GjRQ45gADzKyfmWURHNCn1sozFbgpvLtqJFAUTj/VV3YqcHP4+mbg+URlZtYMuJbgmkgiLdPMuoSvmwOXA6lnIyIichhkNpTB3SvN7HZgBpABPOLuS8xsfLh8MjAduBTIA0qAW+orG1Z9D/CUmd0KrCMIFAnnAPnuvjolrQUwIwwaGcBrwIMH1m0RETlQDQYOAHefThAcUtMmp7x24LaoZcP0bcAF+ykzExhZK60YGBalvSIicujoL8dFRCQWBQ4REYlFgUNERGJR4BARaaIO0d24ChwiIhKPAoeIiMSiwCEiIrEocIiISCwKHCIiEosCh4iIxKLAISIisShwiIg0UX6I/q+6AoeIiMSiwCEiIrEocIiISCwKHCIiEosCh4iIxKLAISIisUQKHGY2ysxWmFmemU1Is9zMbGK4fKGZDW2orJl1NrNXzWxl+NwpTO9rZqVmNj98TE4pM8zMFoV1TTQzO7jui4g0XUfs36qbWQZwPzAaGAxcb2aDa2UbDQwIH+OASRHKTgBed/cBwOvh+4RV7n5K+Bifkj4prD+xrlEx+ioiIo0gyhnHcCDP3Ve7ezkwBRhTK88Y4HEPzAI6mln3BsqOAR4LXz8GXFlfI8L62rv7Bx78VcvjDZUREZHGFyVw9ATWp7zPD9Oi5KmvbDd3LwAIn7um5OtnZvPM7C0zOztlHfkNtENERA6xzAh50l1HqD11tr88UcrWVgD0cfdtZjYMeM7MhsSpy8zGEUxp0adPnwZWJyIicUQ548gHeqe87wVsjJinvrKbw+mnxDTUFgB3L3P3beHrucAqYGBYV68G2kFY7gF3z3H3nOzs7AhdFBGRqKIEjjnAADPrZ2ZZwFhgaq08U4GbwrurRgJF4fRTfWWnAjeHr28Gngcws+zwojpmdizBRfDVYX27zWxkeDfVTYkyIiJy+DQ4VeXulWZ2OzADyAAecfclZjY+XD4ZmA5cCuQBJcAt9ZUNq74HeMrMbgXWAdeG6ecAPzezSqAKGO/u28Nl3wT+DLQCXgofIiJyGEW5xoG7TycIDqlpk1NeO3Bb1LJh+jbggjTpzwDP7KeuXOCEKG0WEfm8O0T/VV1/OS4iIvEocIiISCwKHCIiEosCh4iIxKLAISIisShwiIhILAocIiJNlB+if6yuwCEiIrEocIiISCwKHCIiEosCh4iIxKLAISIisShwiIhILAocIiISiwKHiEgT1SIz45DUq8AhIiKxKHCIiEgsChwiIhKLAoeIiMQSKXCY2SgzW2FmeWY2Ic1yM7OJ4fKFZja0obJm1tnMXjWzleFzpzD9IjOba2aLwucvppSZGdY1P3x0Pbjui4hIXA0GDjPLAO4HRgODgevNbHCtbKOBAeFjHDApQtkJwOvuPgB4PXwPsBW4wt1PBG4G/q/Wum5w91PCx5Y4nRURkYMX5YxjOJDn7qvdvRyYAoyplWcM8LgHZgEdzax7A2XHAI+Frx8DrgRw93nuvjFMXwK0NLMWB9Y9ERFpbFECR09gfcr7/DAtSp76ynZz9wKA8DndtNM1wDx3L0tJezScprrLzCxdg81snJnlmlluYWFh/b0TEZFYogSOdAfn2r8Osr88UcqmX6nZEOBe4BspyTeEU1hnh4+vpivr7g+4e46752RnZ0dZnYiIRBQlcOQDvVPe9wI2RsxTX9nN4XQW4XPyeoWZ9QKeBW5y91WJdHffED7vBp4kmAoTEZHDKErgmAMMMLN+ZpYFjAWm1sozFbgpvLtqJFAUTj/VV3YqwcVvwufnAcysIzANuMPd30uswMwyzaxL+Lo5cDmwOG6HRUTk4GQ2lMHdK83sdmAGkAE84u5LzGx8uHwyMB24FMgDSoBb6isbVn0P8JSZ3QqsA64N028H+gN3mdldYdrFQDEwIwwaGcBrwIMH03kREYnP3A/Nj5l/WuTk5Hhubm7scn0nTDsErREROXzW3nPZAZc1s7nunpNumf5yXEREYlHgEBGRWBQ4REQkFgUOERGJRYFDRERiUeAQEZFYFDhERCQWBQ4REYlFgUNERGJR4BARkVgUOEREJBYFDhERiUWBQ0REYlHg2I+sDG0aEZF0dHTcj/atmh/pJoiIfCopcOxH5zYKHCIi6Shw7EcT/30rEQFO7tXhSDfhM0mBox4tMht/85zZ/6hGr/PTZN5dFx3W9bXOyoict1Xz6HkP1Ak92zd6nT07tmr0Oj/t2rVo8FetY2ubps7LT+rR6Ov5PFDgqMcFg7rWSfvhqOMAOP3YAwsAFw3qViftvutPBaBj68aZHvuvq08E4Lqc3nWWfeu8LzTKOhIGdG2732Vd27Vo1HWl+vpZ/QD4zgUDIpcZdkyn5OtT+3QE4HsXDWzUdt17zUkAdG6TVWe9cYPK+cdlA/CzLw2ps+wrI/oA8QInwG3nB5//v11Yt9+3nNk3Vl0Jk24YCsDFg+vu25cMqZtWnzZhf574lxEA9O5cEzSPCrdpvy5tYtV5Wt9g+0++cVidZccd3a7B8qk3yvzH5YMBuHpozzr5EvtUXI9/bTgAQ3rU3T/iHhO+kB1sm7+PP52Xv3v2AbUnikiBw8xGmdkKM8szswlplpuZTQyXLzSzoQ2VNbPOZvaqma0MnzulLLsjzL/CzC5JSR9mZovCZRPNzA6869Ed161m5zqmc/DBdEq5BnLuwOALnvgCpTq+1o55Qs+aU+PECPjY8MPumHJBfvy5wRf821/sX6fOkcd2BiA75cCcutN2COtJXZ44eH3x+LrB8N/Dg+fZA7rsk/7k10ckX/fqFHyBn/rG6QC0a5nJ3VcM5udjTqhT3w3hQS1d22s74wv7BuDEl3x/+h7VGoCjO7QE9u1jbbX7c3Lvmm3fp3PrfZ5T/eXWEXXSAH533clA3c80VWJU275lzej2wnCwcGb/mvYklqfbZzq1bk6Xtln06xIE5c5ts+rkuWTI0cC+wfCkcNrlB5ccVyd/t/YtwrqDulKv4SWWXTO0FwBdUtZ35SnBiHzMKXVH5olvX1Z4Zt42pc+JoHfdaXUHL4nBV/9ag46Rx3ZmcHjwbBl+NzKb1Ryixg7vHbaz7kH712HArq15htGtfbCvdEhzw8s54XcXaj7X2gEwsV6AFs2D9rTIrAnYJ/fuCNQElVSJ7Vd7PxvSo31yO7cLt1tmSoC6fnjwHfr3i+t+lt+/eP+DnTbh/te5TRbHH934Z78JDZ4PmlkGcD9wEZAPzDGzqe6+NCXbaGBA+BgBTAJGNFB2AvC6u98TBpQJwI/MbDAwFhgC9ABeM7OB7l4V1jsOmAVMB0YBLx3sRqjP1NvPpE/n1qzeWsyC9TvJCQ9sN444humLNgE1o4IOaUYHPxp9PLc8OodzB2bzu+tOoXObLP42biTd2rdkW3EZf/1wfXKnunHkMfxy2jIAsjKCb2Xq6XWXtlls3VPOXZcP5rKJ7+6zntP6dmbeup3cfn5/Rp9wNP9z7clccXIP2rTIpF3LTDKbGXM/2UGf8MA7qHt7lhXsAkimdWy97wHqjPBA16VtFke3b0n+jlLatwraY8A/n9mPiqpqLhrcjVeXbk6W63tUEAiP7lAzWszKaEZ5VXXy/fcvHkiLzAzat8rk/VXbkuk/vnQQV/3xfU7u3ZFJNwzljHve2KdNr/zbuVS70zyjGd07tOLSE49m654yvpDdllsfywWCA+jC/CK+f/FxvLNyKwAvfedsBnZrx5lf6EJ5VTVd2rbgrY8LOSsMLqf17cTGnXvZsLOUVimj+I6tm7OzpAKA3p2C7dQm5TMZe1pvpsxZz91XDObM/l045qg2/OxLQ7hgUFeeys1n3rodyQP60D41B/kubVuwa29lctu3yGxGWWWwfXLvDKb7qqqdc4/LZmifTvxo1PEM79eZN5dv4Q9v5nF0eDA8pXfHZB97d27NwvyitMFw5vfPp7yqmjZZGbRtkcm1Ob1Zv6OU/tltKSjay+9e+zgZhAd1b5+sc0A4aOqRMl12bJc2rN5azLPfOpNOrZvTu1NrfnDJcdw48hiamZHZzBjYrR1vriikTzjQap2VQUl5FQBDegTbo3uHluRt2QNA3n+OppkZu8sqWV6wiwFd2/KNc4/lupze/M+rH7N4QxEDw7akBpzsdi0o3F3GkPBsLvEdAVh098U0M6PanS8e35UTe3XgqlN78qWTe/DMR/m8uLBgn210Vv8uLN+0m9P6duaVcH9e/otRZGU04xvnfoEtu/YyqHt7Fq4v4geXHMf7q7bSo0MrBnZry4L1O5NBuWXzZuytCD7L847rynPzN3Jqn46s214CwJyfXEjbFplsKy5jwfoiBnVvz7BjOvEflw/mtic/In9HaXKglnrWntnMqKx2zj++K7955WMGdG3LynD7vfPD82nRvBlV1c6z8zZwbMyzsriiTCQOB/LcfTWAmU0BxgCpgWMM8Li7OzDLzDqaWXegbz1lxwDnheUfA2YCPwrTp7h7GbDGzPKA4Wa2Fmjv7h+EdT0OXMkhDhwn9eoIwNA+Wckv/tp7LgNg7p0XYmZkZhgn9+rI6ccexRlfOIqrh/bilSWbeGXpZtq3DIJJz06tktMXI8Jprr5d2jDsmM771Hn5ST0oLq+ke4eWlJRXcfMZfXl23gZy+naitLyaZz7Kp12LoM4ubVvwo1HHU7CzlNP6deaBt1dz8ZBumBnXDAtGj99MmZoaG45ipt5+Jsd0bsOqrXtYlF/EiH5Be24Y0YcXFmwEaq7FzLvrIrIym7G3ooq3VxYysGs7zhmYzbizjwWgeUYzHrwph8Ubingqdz0dWzfn1rP6Mah7e84a0IVfXnkCA7q2ZVnBLu5+YSmPfW04n2wr5qbT+ybb9eVhvfnXKfOYtrCA1lnBLtm9fcvkwWrUkKNZtKGIDTtLk6NbgMtO6g7AuHOCPp7cuyNHt29B707BATSxvdu3zGRQ9+DAckbKqH/+f1wMwMK7L6ZFZjN2llSwZGMRJ/bswMWDu3HJkKM5Z2A2m3ft5a2PC5MHrK+f1Y+5n+wAagJ7h9bNkwfZm88I+pY6DTbnJxeS3a4Ffx9/Ou1bNqe8spo/vLkyWectZ/bj4XdXU1HlZDQLBg0ZzSx5Npv4HIcd04nvh2cUM757Dv27tuX0LxxFZZXTuU0WH6zaljyzGdGvM59sK2HTrr20ysqgFRn77Ac/vnQQAO7O7V/sT0Yz4+/jT+f4o9uxYH0Rn2wv5rS+nfnvGSu47MTuTJq5isxmlhwodWrdnGPCQcJt5wdnl7+59uRknVec3IPsdi149JbTgoPc5j28snRTcnrzylN6JgNUYrTdoVXz5PfjjtFB++7/ytBknQO6tmNwj/ZMvnEYR3doyZZde/nltGX0DoPlZSd257EPPgGgXcuagdzV4dnU7647BYDzjstm4thgivjuKwazYWcpZw/I5qF31yQHh1Bz5tOzY6vktaZ7vxyc3bz1g/MBKK+s5tqc3vTt0oZfXHkCpx97FK8s3cS0hQXJz3dEv6N4fn7w3UoE6F5ZrekVDkae+eYZAMz8/nkAmAXB98JBXbnzskEM6t6eBfk7+fXLK5L79bBjOiUDR++UwcK3zmv4TP+guXu9D+DLwEMp778K/KFWnheBs1Levw7k1FcW2Fmrjh3h8x+AG1PSHw7ryQFeS0k/G3hxP20eB+QCuX369PED8fMXlviDb686oLLu7hWVVV5cVuHu7tMXbvTS8soDriuhrKLK120rdnf3v81Z55uKSg+6ztq27Snz7XvKGr3ehpRXViXX+9y8fC8qLXf3oM9VVdW+Zdden7NmW6S6KiqrPG/Lbnd3/3vuel+7dU+jt3fbnjLfvKvUS8oqfdLMPK+sqj7oOjcXlfrSjUWN0Dr3otJyL6uo8oKdpf7G8s2NUuemolLfURz0+7H31zRKnZ9sLfbVhY3z+ewoLvPKqmrP27LbZ6+Otq/UVlZR5e7ui/J3+oYdJY3SroKdpV5dXe25a7f7gvU7GqXO5QW7fG9Fpc9evc1nLC5olDprA3J9P3HBvIH7Ts3sWuASd/96+P6rwHB3/3ZKnmnAf7n7u+H714EfAsfur6yZ7XT3jil17HD3TmZ2P/CBu/8lTH+YYFpqXbiOC8P0s4EfuvsV9bU/JyfHc3Nz6+2jiIjsy8zmuntOumVRLo7nA6lXuHoBGyPmqa/s5nA6i/B5S4S6ejXQDhEROcSiBI45wAAz62dmWQQXrqfWyjMVuCm8u2okUOTuBQ2UnQrcHL6+GXg+JX2smbUws34EF9w/DOvbbWYjw7upbkopIyIih0mDF8fdvdLMbgdmABnAI+6+xMzGh8snE0wlXQrkASXALfWVDau+B3jKzG4lmIa6NiyzxMyeIriAXgnc5sEdVQDfBP4MtCK4KH5IL4yLiEhdDV7j+KzTNQ4RkfgO9hqHiIhIkgKHiIjEosAhIiKxKHCIiEgsTf7iuJkVAp8cYPEuwNZGbM5ngfr8+fB56/Pnrb9w8H0+xt2z0y1o8oHjYJhZ7v7uKmiq1OfPh89bnz9v/YVD22dNVYmISCwKHCIiEosCR/0eONINOALU58+Hz1ufP2/9hUPYZ13jEBGRWHTGISIisShwiIhILAocaZjZKDNbYWZ54e+hf2aZWW8ze9PMlpnZEjP7Tpje2cxeNbOV4XOnlDJ3hH1fYWaXpKQPM7NF4bKJ4b+3/1Qyswwzm2dmL4bvm3R/AcKfbH7azJaHn/fpTbnfZvZv4T692Mz+amYtm1p/zewRM9tiZotT0hqtj+HPV/wtTJ9tZn0jNWx/Pw34eX0Q/Pv3VQS/XpgFLAAGH+l2HUR/ugNDw9ftgI+BwcCvgQlh+gTg3vD14LDPLYB+4bbICJd9CJwOGMG/tB99pPtXT7+/BzxJ+PPCTb2/YXsfA74evs4COjbVfgM9gTVAq/D9U8A/N7X+AucAQ4HFKWmN1kfgW8Dk8PVY4G+R2nWkN8yn7RFu3Bkp7+8A7jjS7WrE/j0PXASsALqHad2BFen6S/BbKqeHeZanpF8P/OlI92c/fexF8Lv3X6QmcDTZ/obtax8eSK1WepPsdxg41gOdCX5X6EXg4qbYX6BvrcDRaH1M5AlfZxL8pbk11CZNVdWV2CET8sO0z7zwNPRUYDbQzYNfVSR87hpm21//e4ava6d/Gv2e4Dfvq1PSmnJ/IThDLgQeDafoHjKzNjTRfrv7BuA3BD8CV0Dwq6Ov0ET7W0tj9jFZxt0rgSLgqIYaoMBRV7r5zc/8Pctm1hZ4Bviuu++qL2uaNK8n/VPFzC4Htrj73KhF0qR9ZvqbIpNgSmOSu58KFBNMY+zPZ7rf4bz+GIIpmR5AGzO7sb4iadI+M/2N6ED6eED9V+CoKx/onfK+F7DxCLWlUZhZc4Kg8YS7/yNM3mxm3cPl3YEtYfr++p8fvq6d/mlzJvAlM1sLTAG+aGZ/oen2NyEfyHf32eH7pwkCSVPt94XAGncvdPcK4B/AGTTd/qZqzD4my5hZJtAB2N5QAxQ46poDDDCzfmaWRXDBaOoRbtMBC++eeBhY5u6/TVk0Fbg5fH0zwbWPRPrY8G6LfsAA4MPwlHi3mY0M67wppcynhrvf4e693L0vwWf3hrvfSBPtb4K7bwLWm9lxYdIFwFKabr/XASPNrHXYzguAZTTd/qZqzD6m1vVlgu9Lw2dcR/rCz6fxAVxKcPfRKuAnR7o9B9mXswhOPRcC88PHpQTzmK8DK8PnzillfhL2fQUpd5gAOcDicNkfiHAR7Qj3/TxqLo5/Hvp7CpAbftbPAZ2acr+BnwHLw7b+H8HdRE2qv8BfCa7hVBCcHdzamH0EWgJ/B/II7rw6Nkq79C9HREQkFk1ViYhILAocIiISiwKHiIjEosAhIiKxKHCIiEgsChwiIhKLAoeIiMTy/xfjbNCSxKKBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(delta_z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2406c12b-09f5-4356-90a5-3cd7798dfa3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'minimum_elevation_m': -8500.0,\n",
       " 'maximum_elevation_m': 21500.0,\n",
       " 'resolution_m': 0.00178993,\n",
       " 'body': 'mars'}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mars = {\n",
    "    'minimum_elevation_m': min_elevation.to(u.m).value,\n",
    "    'maximum_elevation_m': max_elevation.to(u.m).value,\n",
    "    'resolution_m': np.around(resolution*1.001, decimals=8),\n",
    "    'body': 'mars'\n",
    "}\n",
    "mars"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cd6f69f-66c8-43af-b9dd-e009c5e6140e",
   "metadata": {},
   "source": [
    "And that's all you need to define an encoder and decoder  \n",
    "In fact. you don't need the maximum_elevation_m parameter, it's just useful for knowing the top of your elevation range.\n",
    "\n",
    "let's do some other bodies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "80d8a39a-9bf9-4485-896b-aad0d5c07906",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'minimum_elevation_m': -9500.0,\n",
       " 'maximum_elevation_m': 11500.0,\n",
       " 'resolution_m': 0.001264215,\n",
       " 'body': 'moon'}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "moon_min = -9500*u.m\n",
    "moon_max = 11500*u.m\n",
    "moon_range = moon_max - moon_min\n",
    "moon_resolution = moon_range/base_256_3\n",
    "\n",
    "moon = {\n",
    "    'minimum_elevation_m': moon_min.to(u.m).value,\n",
    "    'maximum_elevation_m': moon_max.to(u.m).value,\n",
    "    'resolution_m': np.around(moon_resolution.to(u.m).value*1.01, decimals=9),\n",
    "    'body': 'moon'\n",
    "}\n",
    "moon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e814dd37-1012-43ee-8092-6d86bc9f7244",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$1.2516976 \\; \\mathrm{mm}$"
      ],
      "text/plain": [
       "<Quantity 1.25169761 mm>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "moon_resolution.to(u.mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e58b2d9f-528a-4ff8-b0e5-6a718e97d671",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'minimum_elevation_m': -4000.0,\n",
       " 'maximum_elevation_m': 13000.0,\n",
       " 'resolution_m': 0.00102341,\n",
       " 'body': 'venus'}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venus_min = -4000*u.m\n",
    "venus_max = 13000*u.m\n",
    "venus_range = venus_max - venus_min\n",
    "venus_resolution = venus_range/base_256_3\n",
    "\n",
    "venus = {\n",
    "    'minimum_elevation_m': venus_min.to(u.m).value,\n",
    "    'maximum_elevation_m': venus_max.to(u.m).value,\n",
    "    'resolution_m': np.around(venus_resolution.to(u.m).value*1.01, decimals=8),\n",
    "    'body': 'venus'\n",
    "}\n",
    "venus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a572f03f-49d7-4343-aff0-4d178d8c0191",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$1.013279 \\; \\mathrm{mm}$"
      ],
      "text/plain": [
       "<Quantity 1.01327902 mm>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venus_resolution.to(u.mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "eba38d09-1252-48a7-8c57-1c34cedd1c6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'minimum_elevation_m': -11500.0,\n",
       " 'maximum_elevation_m': 9500.0,\n",
       " 'resolution_m': 0.00126421,\n",
       " 'body': 'earth'}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "earth_min = -11500*u.m\n",
    "earth_max = 9500*u.m\n",
    "earth_range = earth_max - earth_min\n",
    "earth_resolution = earth_range/base_256_3\n",
    "\n",
    "earth = {\n",
    "    'minimum_elevation_m': earth_min.to(u.m).value,\n",
    "    'maximum_elevation_m': earth_max.to(u.m).value,\n",
    "    'resolution_m': np.around(earth_resolution.to(u.m).value*1.01, decimals=8),\n",
    "    'body': 'earth'\n",
    "}\n",
    "earth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "64c6bb7a-5fd2-43d1-ad10-f1917b8aedee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$1.2516976 \\; \\mathrm{mm}$"
      ],
      "text/plain": [
       "<Quantity 1.25169761 mm>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "earth_resolution.to(u.mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "55acccf2-fb62-4a7e-881a-3e9d792cd9f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'minimum_elevation_m': -6000.0,\n",
       " 'maximum_elevation_m': 5000.0,\n",
       " 'resolution_m': 0.00066221,\n",
       " 'body': 'mercury'}"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mercury_min = -6000*u.m\n",
    "mercury_max = 5000*u.m\n",
    "mercury_range = mercury_max - mercury_min\n",
    "mercury_resolution = mercury_range/base_256_3\n",
    "\n",
    "mercury = {\n",
    "    'minimum_elevation_m': mercury_min.to(u.m).value,\n",
    "    'maximum_elevation_m': mercury_max.to(u.m).value,\n",
    "    'resolution_m': np.around(mercury_resolution.to(u.m).value*1.01, decimals=8),\n",
    "    'body': 'mercury'\n",
    "}\n",
    "mercury"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2c2d6154-6a74-46ea-9964-328cb90ac611",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$0.65565113 \\; \\mathrm{mm}$"
      ],
      "text/plain": [
       "<Quantity 0.65565113 mm>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mercury_resolution.to(u.mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fb57c709-ba34-4583-81a2-a4047410132b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'minimum_elevation_m': -12000.0,\n",
       " 'maximum_elevation_m': 22000.0,\n",
       " 'resolution_m': 0.00204682,\n",
       " 'body': 'any'}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "any_rocky_min = -12000*u.m\n",
    "any_rocky_max = 22000*u.m\n",
    "any_rocky_range = any_rocky_max - any_rocky_min\n",
    "any_rocky_resolution = any_rocky_range/base_256_3\n",
    "\n",
    "anyrock = {\n",
    "    'minimum_elevation_m': any_rocky_min.to(u.m).value,\n",
    "    'maximum_elevation_m': any_rocky_max.to(u.m).value,\n",
    "    'resolution_m': np.around(any_rocky_resolution.to(u.m).value*1.01, decimals=8),\n",
    "    'body': 'any'\n",
    "}\n",
    "anyrock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2149b623-5bab-486e-a037-8bd81e0c194e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pprint\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d2d7c7bd-003d-46e4-8698-0a56e6737f42",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{   'anyrock': {   'body': 'any',\n",
      "                   'maximum_elevation_m': 22000.0,\n",
      "                   'minimum_elevation_m': -12000.0,\n",
      "                   'resolution_m': 0.00204682},\n",
      "    'earth': {   'body': 'earth',\n",
      "                 'maximum_elevation_m': 9500.0,\n",
      "                 'minimum_elevation_m': -11500.0,\n",
      "                 'resolution_m': 0.00126421},\n",
      "    'mars': {   'body': 'mars',\n",
      "                'maximum_elevation_m': 21500.0,\n",
      "                'minimum_elevation_m': -8500.0,\n",
      "                'resolution_m': 0.00178993},\n",
      "    'mercury': {   'body': 'mercury',\n",
      "                   'maximum_elevation_m': 5000.0,\n",
      "                   'minimum_elevation_m': -6000.0,\n",
      "                   'resolution_m': 0.00066221},\n",
      "    'moon': {   'body': 'moon',\n",
      "                'maximum_elevation_m': 11500.0,\n",
      "                'minimum_elevation_m': -9500.0,\n",
      "                'resolution_m': 0.001264215},\n",
      "    'venus': {   'body': 'venus',\n",
      "                 'maximum_elevation_m': 13000.0,\n",
      "                 'minimum_elevation_m': -4000.0,\n",
      "                 'resolution_m': 0.00102341}}\n"
     ]
    }
   ],
   "source": [
    "data = dict(mercury=mercury, venus=venus, earth=earth, moon=moon, mars=mars, anyrock=anyrock)\n",
    "pprint.pprint(data, indent=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "d2bdcc65-4b3f-4dbf-a61b-2e7b842e8adc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for k, v in data.items():\n",
    "    min_e = v['minimum_elevation_m'] * u.m\n",
    "    max_e = v['maximum_elevation_m'] * u.m\n",
    "    res   = v['resolution_m'] * u.m\n",
    "    zr = np.linspace(\n",
    "        min_e.value,\n",
    "        max_e.value-res.value,\n",
    "        num=10_000,\n",
    "        endpoint=False\n",
    "    ).astype(np.float32)\n",
    "    ezr = (encode_to_rgb(_, minz=min_e.value, resolution=res.value) for _ in zr)\n",
    "    dzr = list((to_z(*_, minz=min_e.value, resolution=res.value) for _ in ezr))\n",
    "    delta_z = zr - np.array(dzr).astype(np.float64)\n",
    "    plt.figure(figsize=(14,8))\n",
    "    plt.plot(zr,delta_z, label='float64')\n",
    "    plt.plot(zr, zr - np.array(dzr).astype(np.float32), alpha=0.3, label='float32')\n",
    "    plt.hlines(res.value, min_e.value, max_e.value, color='r')\n",
    "    plt.title(k, fontsize=26)\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "fb28f22f-daa8-4b96-9139-3dd587eb09fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('rgb_encodings_planets.json', 'w') as dst:\n",
    "    json.dump(data, dst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "1dc652f0-1cba-4c37-8af0-5f601e085b81",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"mercury\": {\"minimum_elevation_m\": -6000.0, \"maximum_elevation_m\": 5000.0, \"resolution_m\": 0.00066221, \"body\": \"mercury\"}, \"venus\": {\"minimum_elevation_m\": -4000.0, \"maximum_elevation_m\": 13000.0, \"resolution_m\": 0.00102341, \"body\": \"venus\"}, \"earth\": {\"minimum_elevation_m\": -11500.0, \"maximum_elevation_m\": 9500.0, \"resolution_m\": 0.00126421, \"body\": \"earth\"}, \"moon\": {\"minimum_elevation_m\": -9500.0, \"maximum_elevation_m\": 11500.0, \"resolution_m\": 0.001264215, \"body\": \"moon\"}, \"mars\": {\"minimum_elevation_m\": -8500.0, \"maximum_elevation_m\": 21500.0, \"resolution_m\": 0.00178993, \"body\": \"mars\"}, \"anyrock\": {\"minimum_elevation_m\": -12000.0, \"maximum_elevation_m\": 22000.0, \"resolution_m\": 0.00204682, \"body\": \"any\"}}"
     ]
    }
   ],
   "source": [
    "!cat rgb_encodings_planets.json"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf4246d8-c4a7-4faa-89e3-ab9aa9e74bef",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Other ideas\n",
    "\n",
    "\n",
    "1. It may be possible to optimize the encoding to work well with jpeg compression. Could be a interesting thing to dive into if there is a way to ensure the compressed terrain's artifacts would still map close to the correct elevation value. From jpeg compressed images i've seen though that may not be possible...\n",
    "2. Hilbert curves instead of the naive encoding, this could help if it's faster to do bit interleaving and unpacking than multiplication (https://www.forceflow.be/2013/10/07/morton-encodingdecoding-through-bit-interleaving-implementations/) and other bit twiddling hacks one can do (maybe not needed, it's not like I am getting a 24bit int value, I'm getting 3 8bit uints)\n",
    "3. did I pick good resolutions? should I do more or less rounding on them?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93f99816-18b5-42b7-b0a8-b285c01fc81c",
   "metadata": {},
   "source": [
    "![](https://s3.amazonaws.com/elevation-tiles-prod/terrarium/15/5627/13066.png)\n",
    "![](https://s3.amazonaws.com/elevation-tiles-prod/terrarium/15/5375/12698.png)\n",
    "![](https://s3.amazonaws.com/elevation-tiles-prod/terrarium/11/334/794.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "839a083d-5c13-4596-85db-4ccdf7589fc7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "279d9f95-04e4-4de7-bf43-d22e515c3e46",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "4b657dbb-98e4-4dc4-81ae-02e1c72ca204",
   "metadata": {},
   "source": [
    "https://astro.arcgis.com/arcgis/rest/services/OnMars/MDEM200M/ImageServer?f=json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "74b9e945-cb17-45b0-83c2-cf1ad47ccafe",
   "metadata": {},
   "outputs": [],
   "source": [
    "!ogr2ogr -of 'GPKG' mars_quads.gpkg '/vsicurl/https://services.arcgis.com/P3ePLMYs2RVChkJx/ArcGIS/rest/services/Mars_Quadrangle_Grid/FeatureServer/11/query?where=Shape__Area%3E0&objectIds=&time=&geometry=&geometryType=esriGeometryPolygon&inSR=&spatialRel=esriSpatialRelIntersects&resultType=none&distance=0.0&units=esriSRUnit_Meter&relationParam=&returnGeodetic=false&outFields=&returnGeometry=true&returnCentroid=false&featureEncoding=esriDefault&multipatchOption=xyFootprint&maxAllowableOffset=&geometryPrecision=&outSR=&defaultSR=&datumTransformation=&applyVCSProjection=false&returnIdsOnly=false&returnUniqueIdsOnly=false&returnCountOnly=false&returnExtentOnly=false&returnQueryGeometry=false&returnDistinctValues=false&cacheHint=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&having=&resultOffset=&resultRecordCount=&returnZ=false&returnM=false&returnExceededLimitFeatures=true&quantizationParameters=&sqlFormat=none&f=json' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d00b0293-6557-4a30-93e6-75227bb46b75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Open of `mars_quads.gpkg'\n",
      "      using driver `GPKG' successful.\n",
      "\n",
      "Layer name: query?where=Shape__Area%3E0&objectIds=&time=&geometry=&geometryType=esriGeometryPolygon&inSR=&spatialRel=esriSpatialRelIntersects&resultType=none&distance=0\n",
      "Geometry: Polygon\n",
      "Feature Count: 30\n",
      "Extent: (-180.000000, -90.000000) - (180.000000, 90.000000)\n",
      "Layer SRS WKT:\n",
      "GEOGCRS[\"Mars_2000_(Sphere)\",\n",
      "    DATUM[\"Mars_2000_(Sphere)\",\n",
      "        ELLIPSOID[\"Mars_2000_(Sphere)\",3396190,0,\n",
      "            LENGTHUNIT[\"metre\",1]]],\n",
      "    PRIMEM[\"Reference_Meridian\",0,\n",
      "        ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
      "    CS[ellipsoidal,2],\n",
      "        AXIS[\"geodetic latitude (Lat)\",north,\n",
      "            ORDER[1],\n",
      "            ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
      "        AXIS[\"geodetic longitude (Lon)\",east,\n",
      "            ORDER[2],\n",
      "            ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
      "    ID[\"ESRI\",104971]]\n",
      "Data axis to CRS axis mapping: 2,1\n",
      "FID Column = fid\n",
      "Geometry Column = geom\n",
      "QUAD_NAME: String (24.0)\n"
     ]
    }
   ],
   "source": [
    "!ogrinfo mars_quads.gpkg -so -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "63ac0ef9-b5ef-4fb2-a72e-5b6b779b2c17",
   "metadata": {},
   "outputs": [],
   "source": [
    "!ogr2ogr -of GeoJSON mars_quads.geojson mars_quads.gpkg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "7df06225-9bd5-4a1e-aa4a-9f928dcac7f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "!rio zonalstats mars_quads.geojson --prefix \"elevation_\" -r /Users/andrew/Dropbox/Planetary/OnMars_Esri_TiledWMS_layers_03222019/MOLA_DEM_16bit_463m_NASA.dem > zonal_stats.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "54127c89-d4d6-43ef-a29c-7e3894c28ddc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gp\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "e893c2b7-07d1-4277-b7e1-abe5113852dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mdf = gp.read_file('./zonal_stats.json')\n",
    "mdf['elevation_range']=mdf['elevation_max'] - mdf['elevation_min']\n",
    "ax=mdf.plot(column='QUAD_NAME', figsize=(20,10))\n",
    "for _, row in mdf.iterrows():\n",
    "    coord = [_[0] for _ in row.geometry.centroid.xy]\n",
    "    ax.text(*coord, row.QUAD_NAME+'\\nrange: '+str(row.elevation_range))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "629445b9-5f58-40bb-aad2-edf8b95e505a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mdf = gp.read_file('./zonal_stats.json')\n",
    "mdf['elevation_range']=mdf['elevation_max'] - mdf['elevation_min']\n",
    "ax=mdf.plot(column='QUAD_NAME', figsize=(20,10))\n",
    "for _, row in mdf.iterrows():\n",
    "    coord = [_[0] for _ in row.geometry.centroid.xy]\n",
    "    ax.text(*coord, row.QUAD_NAME+'\\nmin: '+str(row.elevation_min))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "19b9c15d-09a0-4a1d-a116-c69ad67563a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>QUAD_NAME</th>\n",
       "      <th>elevation_min</th>\n",
       "      <th>elevation_max</th>\n",
       "      <th>elevation_mean</th>\n",
       "      <th>elevation_count</th>\n",
       "      <th>geometry</th>\n",
       "      <th>elevation_range</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mare Boreum</td>\n",
       "      <td>-6658.0</td>\n",
       "      <td>-1904.0</td>\n",
       "      <td>-4069.697346</td>\n",
       "      <td>299427840</td>\n",
       "      <td>POLYGON ((-180.00000 65.00000, -180.00000 66.0...</td>\n",
       "      <td>4754.0</td>\n",
       "      <td>-8000.0</td>\n",
       "      <td>-1000.0</td>\n",
       "      <td>7000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Diacria</td>\n",
       "      <td>-5989.0</td>\n",
       "      <td>3891.0</td>\n",
       "      <td>-3148.485966</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((-180.00000 30.00000, -180.00000 31.0...</td>\n",
       "      <td>9880.0</td>\n",
       "      <td>-7000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arcadia</td>\n",
       "      <td>-5789.0</td>\n",
       "      <td>6842.0</td>\n",
       "      <td>-717.721164</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((-120.00000 30.00000, -120.00000 31.0...</td>\n",
       "      <td>12631.0</td>\n",
       "      <td>-7000.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>15000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mare Acidalium</td>\n",
       "      <td>-6660.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>-4240.516669</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((-60.00000 30.00000, -60.00000 31.000...</td>\n",
       "      <td>6895.0</td>\n",
       "      <td>-8000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>9000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ismenius Lacus</td>\n",
       "      <td>-7032.0</td>\n",
       "      <td>1032.0</td>\n",
       "      <td>-3099.363469</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((0.00000 30.00000, 0.00000 31.00000, ...</td>\n",
       "      <td>8064.0</td>\n",
       "      <td>-8000.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>10000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Casius</td>\n",
       "      <td>-6374.0</td>\n",
       "      <td>1390.0</td>\n",
       "      <td>-3972.453321</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((60.00000 30.00000, 60.00000 31.00000...</td>\n",
       "      <td>7764.0</td>\n",
       "      <td>-7000.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>9000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Cebrenia</td>\n",
       "      <td>-6499.0</td>\n",
       "      <td>4846.0</td>\n",
       "      <td>-4004.828477</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((120.00000 30.00000, 120.00000 31.000...</td>\n",
       "      <td>11345.0</td>\n",
       "      <td>-7000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>13000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Amazonis</td>\n",
       "      <td>-5594.0</td>\n",
       "      <td>16750.0</td>\n",
       "      <td>-2706.683821</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((-180.00000 0.00000, -180.00000 1.000...</td>\n",
       "      <td>22344.0</td>\n",
       "      <td>-7000.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>25000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Tharsis</td>\n",
       "      <td>-2651.0</td>\n",
       "      <td>21241.0</td>\n",
       "      <td>2943.237335</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((-135.00000 0.00000, -135.00000 1.000...</td>\n",
       "      <td>23892.0</td>\n",
       "      <td>-4000.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>26000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lunae Palus</td>\n",
       "      <td>-4781.0</td>\n",
       "      <td>4452.0</td>\n",
       "      <td>-395.258934</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((-90.00000 0.00000, -90.00000 1.00000...</td>\n",
       "      <td>9233.0</td>\n",
       "      <td>-6000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>11000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Oxia Palus</td>\n",
       "      <td>-5638.0</td>\n",
       "      <td>794.0</td>\n",
       "      <td>-2648.835182</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((-45.00000 0.00000, -45.00000 1.00000...</td>\n",
       "      <td>6432.0</td>\n",
       "      <td>-7000.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>9000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Arabia</td>\n",
       "      <td>-4799.0</td>\n",
       "      <td>2696.0</td>\n",
       "      <td>-834.420524</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((0.00000 0.00000, 0.00000 1.00000, 0....</td>\n",
       "      <td>7495.0</td>\n",
       "      <td>-6000.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>10000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Syrtis Major</td>\n",
       "      <td>-5005.0</td>\n",
       "      <td>3206.0</td>\n",
       "      <td>-181.874423</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((45.00000 0.00000, 45.00000 1.00000, ...</td>\n",
       "      <td>8211.0</td>\n",
       "      <td>-6000.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>10000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Amenthes</td>\n",
       "      <td>-6035.0</td>\n",
       "      <td>4350.0</td>\n",
       "      <td>-2737.948157</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((90.00000 0.00000, 90.00000 1.00000, ...</td>\n",
       "      <td>10385.0</td>\n",
       "      <td>-7000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Elysium</td>\n",
       "      <td>-5016.0</td>\n",
       "      <td>14071.0</td>\n",
       "      <td>-1985.751887</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((135.00000 0.00000, 135.00000 1.00000...</td>\n",
       "      <td>19087.0</td>\n",
       "      <td>-6000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>21000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Memnonia</td>\n",
       "      <td>-4909.0</td>\n",
       "      <td>4603.0</td>\n",
       "      <td>279.055737</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((-180.00000 -30.00000, -180.00000 -29...</td>\n",
       "      <td>9512.0</td>\n",
       "      <td>-6000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Phoenicis Lacus</td>\n",
       "      <td>-1128.0</td>\n",
       "      <td>17763.0</td>\n",
       "      <td>5296.894456</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((-135.00000 -30.00000, -135.00000 -29...</td>\n",
       "      <td>18891.0</td>\n",
       "      <td>-2000.0</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>21000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Coprates</td>\n",
       "      <td>-5748.0</td>\n",
       "      <td>6920.0</td>\n",
       "      <td>2058.415809</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((-90.00000 -30.00000, -90.00000 -29.0...</td>\n",
       "      <td>12668.0</td>\n",
       "      <td>-7000.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>15000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Margaritifer Sinus</td>\n",
       "      <td>-5364.0</td>\n",
       "      <td>2553.0</td>\n",
       "      <td>-888.414344</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((-45.00000 -30.00000, -45.00000 -29.0...</td>\n",
       "      <td>7917.0</td>\n",
       "      <td>-6000.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>10000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Sinus Sabaeus</td>\n",
       "      <td>-2604.0</td>\n",
       "      <td>4413.0</td>\n",
       "      <td>1279.667798</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((0.00000 -30.00000, 0.00000 -29.00000...</td>\n",
       "      <td>7017.0</td>\n",
       "      <td>-4000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>9000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Iapygia</td>\n",
       "      <td>-7067.0</td>\n",
       "      <td>4664.0</td>\n",
       "      <td>992.328532</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((45.00000 -30.00000, 45.00000 -29.000...</td>\n",
       "      <td>11731.0</td>\n",
       "      <td>-8000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>14000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Mare Tyrrhenum</td>\n",
       "      <td>-3259.0</td>\n",
       "      <td>5463.0</td>\n",
       "      <td>1417.963355</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((90.00000 -30.00000, 90.00000 -29.000...</td>\n",
       "      <td>8722.0</td>\n",
       "      <td>-4000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>10000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Aeolis</td>\n",
       "      <td>-4607.0</td>\n",
       "      <td>3670.0</td>\n",
       "      <td>-110.045403</td>\n",
       "      <td>44914176</td>\n",
       "      <td>POLYGON ((135.00000 -30.00000, 135.00000 -29.0...</td>\n",
       "      <td>8277.0</td>\n",
       "      <td>-6000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>11000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Phaethontis</td>\n",
       "      <td>-1769.0</td>\n",
       "      <td>5249.0</td>\n",
       "      <td>1739.732599</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((-180.00000 -65.00000, -180.00000 -64...</td>\n",
       "      <td>7018.0</td>\n",
       "      <td>-3000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>9000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Thaumasia</td>\n",
       "      <td>-1481.0</td>\n",
       "      <td>8972.0</td>\n",
       "      <td>2504.581787</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((-120.00000 -65.00000, -120.00000 -64...</td>\n",
       "      <td>10453.0</td>\n",
       "      <td>-2000.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Argyre</td>\n",
       "      <td>-5243.0</td>\n",
       "      <td>6117.0</td>\n",
       "      <td>388.250353</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((-60.00000 -65.00000, -60.00000 -64.0...</td>\n",
       "      <td>11360.0</td>\n",
       "      <td>-6000.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>13000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Noachis</td>\n",
       "      <td>-7942.0</td>\n",
       "      <td>3754.0</td>\n",
       "      <td>226.588838</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((0.00000 -65.00000, 0.00000 -64.00000...</td>\n",
       "      <td>11696.0</td>\n",
       "      <td>-9000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>14000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Hellas</td>\n",
       "      <td>-8201.0</td>\n",
       "      <td>4869.0</td>\n",
       "      <td>-1794.832041</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((60.00000 -65.00000, 60.00000 -64.000...</td>\n",
       "      <td>13070.0</td>\n",
       "      <td>-9000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>15000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Eridania</td>\n",
       "      <td>-1559.0</td>\n",
       "      <td>4331.0</td>\n",
       "      <td>1355.089166</td>\n",
       "      <td>69866496</td>\n",
       "      <td>POLYGON ((120.00000 -65.00000, 120.00000 -64.0...</td>\n",
       "      <td>5890.0</td>\n",
       "      <td>-3000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>8000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Mare Australe</td>\n",
       "      <td>-1623.0</td>\n",
       "      <td>4849.0</td>\n",
       "      <td>2060.091189</td>\n",
       "      <td>299427840</td>\n",
       "      <td>POLYGON ((-180.00000 -65.00000, -179.00000 -65...</td>\n",
       "      <td>6472.0</td>\n",
       "      <td>-3000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>9000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             QUAD_NAME  elevation_min  elevation_max  elevation_mean  \\\n",
       "0          Mare Boreum        -6658.0        -1904.0    -4069.697346   \n",
       "1              Diacria        -5989.0         3891.0    -3148.485966   \n",
       "2              Arcadia        -5789.0         6842.0     -717.721164   \n",
       "3       Mare Acidalium        -6660.0          235.0    -4240.516669   \n",
       "4       Ismenius Lacus        -7032.0         1032.0    -3099.363469   \n",
       "5               Casius        -6374.0         1390.0    -3972.453321   \n",
       "6             Cebrenia        -6499.0         4846.0    -4004.828477   \n",
       "7             Amazonis        -5594.0        16750.0    -2706.683821   \n",
       "8              Tharsis        -2651.0        21241.0     2943.237335   \n",
       "9          Lunae Palus        -4781.0         4452.0     -395.258934   \n",
       "10          Oxia Palus        -5638.0          794.0    -2648.835182   \n",
       "11              Arabia        -4799.0         2696.0     -834.420524   \n",
       "12        Syrtis Major        -5005.0         3206.0     -181.874423   \n",
       "13            Amenthes        -6035.0         4350.0    -2737.948157   \n",
       "14             Elysium        -5016.0        14071.0    -1985.751887   \n",
       "15            Memnonia        -4909.0         4603.0      279.055737   \n",
       "16     Phoenicis Lacus        -1128.0        17763.0     5296.894456   \n",
       "17            Coprates        -5748.0         6920.0     2058.415809   \n",
       "18  Margaritifer Sinus        -5364.0         2553.0     -888.414344   \n",
       "19       Sinus Sabaeus        -2604.0         4413.0     1279.667798   \n",
       "20             Iapygia        -7067.0         4664.0      992.328532   \n",
       "21      Mare Tyrrhenum        -3259.0         5463.0     1417.963355   \n",
       "22              Aeolis        -4607.0         3670.0     -110.045403   \n",
       "23         Phaethontis        -1769.0         5249.0     1739.732599   \n",
       "24           Thaumasia        -1481.0         8972.0     2504.581787   \n",
       "25              Argyre        -5243.0         6117.0      388.250353   \n",
       "26             Noachis        -7942.0         3754.0      226.588838   \n",
       "27              Hellas        -8201.0         4869.0    -1794.832041   \n",
       "28            Eridania        -1559.0         4331.0     1355.089166   \n",
       "29       Mare Australe        -1623.0         4849.0     2060.091189   \n",
       "\n",
       "    elevation_count                                           geometry  \\\n",
       "0         299427840  POLYGON ((-180.00000 65.00000, -180.00000 66.0...   \n",
       "1          69866496  POLYGON ((-180.00000 30.00000, -180.00000 31.0...   \n",
       "2          69866496  POLYGON ((-120.00000 30.00000, -120.00000 31.0...   \n",
       "3          69866496  POLYGON ((-60.00000 30.00000, -60.00000 31.000...   \n",
       "4          69866496  POLYGON ((0.00000 30.00000, 0.00000 31.00000, ...   \n",
       "5          69866496  POLYGON ((60.00000 30.00000, 60.00000 31.00000...   \n",
       "6          69866496  POLYGON ((120.00000 30.00000, 120.00000 31.000...   \n",
       "7          44914176  POLYGON ((-180.00000 0.00000, -180.00000 1.000...   \n",
       "8          44914176  POLYGON ((-135.00000 0.00000, -135.00000 1.000...   \n",
       "9          44914176  POLYGON ((-90.00000 0.00000, -90.00000 1.00000...   \n",
       "10         44914176  POLYGON ((-45.00000 0.00000, -45.00000 1.00000...   \n",
       "11         44914176  POLYGON ((0.00000 0.00000, 0.00000 1.00000, 0....   \n",
       "12         44914176  POLYGON ((45.00000 0.00000, 45.00000 1.00000, ...   \n",
       "13         44914176  POLYGON ((90.00000 0.00000, 90.00000 1.00000, ...   \n",
       "14         44914176  POLYGON ((135.00000 0.00000, 135.00000 1.00000...   \n",
       "15         44914176  POLYGON ((-180.00000 -30.00000, -180.00000 -29...   \n",
       "16         44914176  POLYGON ((-135.00000 -30.00000, -135.00000 -29...   \n",
       "17         44914176  POLYGON ((-90.00000 -30.00000, -90.00000 -29.0...   \n",
       "18         44914176  POLYGON ((-45.00000 -30.00000, -45.00000 -29.0...   \n",
       "19         44914176  POLYGON ((0.00000 -30.00000, 0.00000 -29.00000...   \n",
       "20         44914176  POLYGON ((45.00000 -30.00000, 45.00000 -29.000...   \n",
       "21         44914176  POLYGON ((90.00000 -30.00000, 90.00000 -29.000...   \n",
       "22         44914176  POLYGON ((135.00000 -30.00000, 135.00000 -29.0...   \n",
       "23         69866496  POLYGON ((-180.00000 -65.00000, -180.00000 -64...   \n",
       "24         69866496  POLYGON ((-120.00000 -65.00000, -120.00000 -64...   \n",
       "25         69866496  POLYGON ((-60.00000 -65.00000, -60.00000 -64.0...   \n",
       "26         69866496  POLYGON ((0.00000 -65.00000, 0.00000 -64.00000...   \n",
       "27         69866496  POLYGON ((60.00000 -65.00000, 60.00000 -64.000...   \n",
       "28         69866496  POLYGON ((120.00000 -65.00000, 120.00000 -64.0...   \n",
       "29        299427840  POLYGON ((-180.00000 -65.00000, -179.00000 -65...   \n",
       "\n",
       "    elevation_range     min      max    range  \n",
       "0            4754.0 -8000.0  -1000.0   7000.0  \n",
       "1            9880.0 -7000.0   5000.0  12000.0  \n",
       "2           12631.0 -7000.0   8000.0  15000.0  \n",
       "3            6895.0 -8000.0   1000.0   9000.0  \n",
       "4            8064.0 -8000.0   2000.0  10000.0  \n",
       "5            7764.0 -7000.0   2000.0   9000.0  \n",
       "6           11345.0 -7000.0   6000.0  13000.0  \n",
       "7           22344.0 -7000.0  18000.0  25000.0  \n",
       "8           23892.0 -4000.0  22000.0  26000.0  \n",
       "9            9233.0 -6000.0   5000.0  11000.0  \n",
       "10           6432.0 -7000.0   2000.0   9000.0  \n",
       "11           7495.0 -6000.0   4000.0  10000.0  \n",
       "12           8211.0 -6000.0   4000.0  10000.0  \n",
       "13          10385.0 -7000.0   5000.0  12000.0  \n",
       "14          19087.0 -6000.0  15000.0  21000.0  \n",
       "15           9512.0 -6000.0   6000.0  12000.0  \n",
       "16          18891.0 -2000.0  19000.0  21000.0  \n",
       "17          12668.0 -7000.0   8000.0  15000.0  \n",
       "18           7917.0 -6000.0   4000.0  10000.0  \n",
       "19           7017.0 -4000.0   5000.0   9000.0  \n",
       "20          11731.0 -8000.0   6000.0  14000.0  \n",
       "21           8722.0 -4000.0   6000.0  10000.0  \n",
       "22           8277.0 -6000.0   5000.0  11000.0  \n",
       "23           7018.0 -3000.0   6000.0   9000.0  \n",
       "24          10453.0 -2000.0  10000.0  12000.0  \n",
       "25          11360.0 -6000.0   7000.0  13000.0  \n",
       "26          11696.0 -9000.0   5000.0  14000.0  \n",
       "27          13070.0 -9000.0   6000.0  15000.0  \n",
       "28           5890.0 -3000.0   5000.0   8000.0  \n",
       "29           6472.0 -3000.0   6000.0   9000.0  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mdf['min'] = (mdf['elevation_min']-1000).round(decimals=-3)\n",
    "mdf['max'] = (mdf['elevation_max']+1000).round(decimals=-3)\n",
    "mdf['range'] = mdf['max']-mdf['min']\n",
    "mdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "b1da1692-a401-49e0-a7cb-b4aa11690ce0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax=mdf.plot.scatter(x='elevation_max', y='max', figsize=(10,10))\n",
    "ax.plot((0, 22_000), (0,22_000))\n",
    "ax.set_aspect('equal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "8f841eda-c7c6-4fef-a780-dac5fd7e36f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VSZ6oqj9Jsj/Jv6+ql2TlzNdtq3azP8lXR+P71xjP6m2qakeSFyT583G9LoBxGUqMJcne3Ttz+NCB3Dw/l1t27sjN83M5fOhA9u7e2dkcdswl8zdVZ/OBrZj4Tf2ttSeTfPOlz0dRttBa+1pVfSLJr1bVL2Tlpv5XJvlca+1iVZ2pqtcl+WySe5K8b7SLTyR5e5JHkrw1yWdG95kBDMaQYuySuw7uy3fdcWtOnj6X/Xt2dRI/V84hSafzgc3q7F2Wa2mtfb6qPprkC0kuJPnR0Tssk+SdSX4lya6svLvyU6Px9yf5YFUdz8qZsbsnOmmALRpijF2yd/fOzsPnyjl0PR/YjJrVk0kLCwvt6NGjXU8DmHFDjjHgxlXVY621hSvH/aZ+gI6IMeASQQbQATEGrCbIACZMjAFXEmQAEyTGgLUIMoAJEWPAtQgygAkQY8B6BBnAmIkx4HoEGcAYiTFgIwQZwJiIMWCjBBnAGIgx4EYIMoBtJsaAGyXIALaRGAM2Q5ABbBMxBmyWIAPYBmIM2ApBBrBFYgzYqg0FWVX9QFX9UVV9var+oqrOVNVfjHtyAH0nxoDtsGODjzuc5O+31v7fcU4GYEjEGLBdNnrJ8ikxBvAcMQZsp42eITtaVR9J8vEki5cGW2sfG8ekAPpMjAHbbaNB9vwkf5nk+1aNtSSCDJgpYgwYhw0FWWvtH417IgB9J8aAcVk3yKrqvtba4ap6X1bOiF2mtfYTY5sZQI+IMWCcrneG7NKN/EezRpABzAIxBozbukHWWvs/R4tfSPIzSW5ftU1L8uDYZgbQA2IMmISN3tT/fyT5p0meTLI8vukA9IcYAyZlo0H2dGvtE2OdCUCPiDFgkjYaZP9jVf3rJL8dv4cMmHJiDJi0jQbZP0ry15LM57lLln4PGTB1xBjQhY0G2Xe01l491pkAdEyMAV3Z6N+yfLSq7hzrTAA6JMaALm30DNl3J3l7VX0pK/eQVZLWWjswtpkBTIgYA7q20SB701hnAdARMQb0wUb/luWfjnsiAJMmxoC+2Og9ZABTRYwBfSLIgJkjxoC+EWTATBFjQB8JMmBmiDGgrwQZMBPEGNBnggyYemIM6DtBBkw1MQYMgSADppYYA4ZCkAFTSYwBQyLIgKkjxoChEWTAVBFjwBAJMmBqiDFgqAQZMBXEGDBkggwYPDEGDJ0gAwZNjAHTQJABgyXGgGkhyIBBEmPANBFkwOCIMWDaCDJgUMQYMI0EGTAYYgyYVoIMGAQxBkwzQQb0nhgDpp0gA3pNjAGzQJABvSXGgFkhyIBeEmPALBFkQO+IMWDWCDKgV8QYMIsEGdAbYgyYVYIM6AUxBswyQQZ0TowBs06QAZ0SYwCCDOiQGANYIciATogxgOcIMmDixBjA5QQZMFFiDOBqggyYGDEGsDZBBkyEGAO4NkEGjJ0YA1ifIAPGSowBXJ8gA8ZGjAFsjCADxkKMAWycIAO2nRgDuDGCDNhWYgzgxgkyYNuIMYDNEWTAthBjAJsnyIAtE2MAWyPIgC0RYwBbJ8iATRNjANtDkAGbIsYAto8gA26YGAPYXoIMuCFiDGD7CTJgw8QYwHgIMmBDxBjA+Agy4LrEGMB4CTJgXWIMYPwEGXBNYgxgMgQZsCYxBjA5ggy4ihgDmCxBBlxGjAFMniADniXGALohyIAkYgygS4IMEGMAHRNkMOPEGED3BBnMMDEG0A+CDGaUGAPoD0EGM0iMAfSLIIMZI8YA+qezIKuqH6+qL1bV56vq8Krxd1XV8dG67181/pqqenK07hdr9BOkqnZW1UdG45+tqts7eDkwCH2IsVNnF/PEiWdy6uziDa27luNPnclDR0/k+FNnrrufU2cX83v/4c/ye//h6es+x2bmArBZO7p40qr6W0nenORAa22xqr55NH5nkruTfFuSlyX5dFW9qrV2MckvJbk3yaNJPpnkTUk+leRHkpxurd1RVXcneU+St036NUHf9SHGHn78K7n/yLHMz81laXk5hw8dyF0H91133bX87MefzIOPfvnZz+95/cvzmm/5K2vu5+HHv5Kf+rUnsnSxJUl2zCW/8IMH13yOzcwFYCu6OkP2ziQ/31pbTJLW2p+Nxt+c5MOttcXW2peSHE/y2qp6aZLnt9Yeaa21JA8mecuqbT4wWn4oyRvK9Re4TB9i7NTZxdx/5FjOLy3nzOKFnF9azn1HjuXU2cV1113L8afOXBZjSfLgI1/OfQ9dvZ/jT53JfQ8dezbGkuTCcvJPH3pizbNoNzoXgK3qKsheleRvji4x/m5VfedofF+SE6sed3I0tm+0fOX4Zdu01i4k+XqSvWs9aVXdW1VHq+ro008/vW0vBvqsDzGWJCdPn8v83OXfcubn5nLy9Ll1113L4yeeWXP8ylc2PzeXx088k5vmrn7NN9XVz7GZuQBs1dguWVbVp5O8ZI1V7x49754kr0vynUk+WlXfmqu/lyZJW2c811l3+WBrDyR5IEkWFhbWfAxMk77EWJLs37MrS8vLl40tLS9n/55dzy5fa91aDt72wjXHr/zCXlpezsHbXpiLy1d/yV9sVz/H9eYJMA5jO0PWWntja+3b1/h4OCtnuD7WVnwuyXKSW0fjt63azf4kXx2N719jPKu3qaodSV6Q5M/H9bpgKPoUY0myd/fOHD50IDfPz+WWnTty8/xcDh86kL27d6677lruePEtuef1L79s7J7XvzzvfevV+7njxbfkvW89kPmbnnv9O+aS9771O656js3MBWCrauWWrAk/adU7krystfazVfWqJL+d5OVJ7kzyq0lem5Wb+n87yStbaxer6veT/HiSz2blpv73tdY+WVU/muTVrbV3jG7q/4HW2g9ebw4LCwvt6NGjY3l90LW+xdhqp84u5uTpc9m/Z9dVkbPeums5/tSZPH7imRy87YW548W3rLufU2cX8/mvfj1J5dte9vx1n2MzcwG4nqp6rLW2cNV4R0H2vCS/nORgkm8k+anW2mdG696d5IeTXEjyk621T43GF5L8SpJdWXl35Y+31lpV3Zzkg0n+elbOjN3dWvvj681BkDGt+hxjALOuV0HWB4KMaSTGAPrtWkHmN/XDlBBjAMMlyGAKiDGAYRNkMHBiDGD4BBkMmBgDmA6CDAZKjAFMD0EGAyTGAKaLIIOBEWMA00eQwYCIMYDpJMhgIMQYwPQSZDAAYgxgugky6DkxBjD9BBn0mBgDmA2CDHpKjAHMDkEGPSTGAGaLIIOeEWMAs0eQQY+IMYDZJMigJ8QYwOwSZNADYgxgtgky6JgYA0CQQYfEGACJIIPOiDEALhFk0AExBsBqggwmTIwBcCVBBhMkxgBYiyCDCRFjAFyLIIMJEGMArEeQwZiJMQCuR5DBGIkxADZCkMGYiDEANkqQwRiIMQBuhCCDbSbGALhRggy2kRgDYDMEGWwTMQbAZgky2AZiDICtEGSwRWIMgK0SZLAFYgyA7SDIYJPEGADbRZDBJogxALaTIIMbJMYA2G6CDG6AGANgHAQZbJAYA2BcBBlsgBgDYJwEGVyHGANg3AQZrEOMATAJggyuQYwBMCmCDNYgxgCYpB1dTwD6ZlIxdursYk6ePpf9e3Zl7+6dG1632ef5pufdlP/8jYsb2uf1tlk9vyTbNleAWSXIYJVJxdjDj38l9x85lvm5uSwtL+fwoQO56+C+667b7PMkyfml5ey8qVJzte4+L23TllsWL7bcPL9yIv3SNqvnd/7CxbTWsmt+x5bnCjDLXLKEkUmeGbv/yLGcX1rOmcULOb+0nPuOHMups4vrrtvK85xfWk6SLF5s6+5z9TaLF1uSPLv9fUeO5fhTZy6b39LFlgvL2fJcAWadIINM9p6xk6fPZX7u8i+9+bm5nDx9bt112/E819vn9bZ5/MQz11y/lbkCzDqXLJl5k76Bf/+eXVlaXr5sbGl5+dn7sdZbt9Xnud4+r7fNwdteeM31W5krwKxzhoyZ1sW7Kffu3pnDhw7k5vm53LJzR26en8vhQweyd/fOdddt5Xku3Qe286Zad5+rt9l508r/D5e2P3zoQO548S2XzW/+psqOuWx5rgCzrlprXc+hEwsLC+3o0aNdT4MOdf2rLbzLEmD2VNVjrbWFK8ddsmQmdR1jSZ49I3aj67bzeTa7zZXrhRjA1rhkyczpQ4wBwGqCjJkixgDoI0HGzBBjAPSVIGMmiDEA+kyQMfXEGAB9J8iYamIMgCEQZEwtMQbAUAgyppIYA2BIBBlTR4wBMDSCjKkixgAYIkHG1BBjAAyVIGMqiDEAhkyQMXhiDIChE2QMmhgDYBoIMgZLjAEwLQQZgyTGAJgmgozBEWMATBtBxqCIMQCmkSBjMMQYANNKkDEIYgyAaSbI6D0xBsC0E2T0mhgDYBYIMnpLjAEwKwQZvSTGAJglgozeEWMAzBpBRq+IMQBmkSCjN8QYALNKkNELYgyAWSbI6JwYA2DWCTI6JcYAQJDRITEGACsEGZ0QYwDwHEHGxIkxALicIGOixBgAXE2QMTFiDADWJsiYCDEGANcmyBg7MQYA6xNkjJUYA4DrE2SMjRgDgI0RZIyFGAOAjRNkbDsxBgA3RpCxrcQYANw4Qca2EWMAsDmCjG0hxgBg8wQZWybGAGBrBBlbIsYAYOsEGZsmxgBge3QSZFV1sKoerarHq+poVb121bp3VdXxqvpiVX3/qvHXVNWTo3W/WKOf/FW1s6o+Mhr/bFXd3sFLmjnTEmOnzi7miRPP5PhTZ/LEiWdy6uzituz3+FNn8tDREzn+1Jlt2R8A021HR897OMn/1Fr7VFX93dHn31tVdya5O8m3JXlZkk9X1ataaxeT/FKSe5M8muSTSd6U5FNJfiTJ6dbaHVV1d5L3JHnbxF/RDJmWGHv48a/k/iPHkiTnl5az86ZKzVUOHzqQuw7u2/R+f/bjT+bBR7/87Of3vP7l+bk3v3rL8wVgenV1ybIlef5o+QVJvjpafnOSD7fWFltrX0pyPMlrq+qlSZ7fWnuktdaSPJjkLau2+cBo+aEkb6gh1sFATEuMnTq7mPuPHMv5peWcX1pOkixebDm/tJz7jhzb9Jmy40+duSzGkuTBR77sTBkA6+oqyH4yyXur6kSSf57kXaPxfUlOrHrcydHYvtHyleOXbdNau5Dk60n2rvWkVXXv6BLp0aeffnp7XskMmZYYS5KTp89lfm7tf/7zc3M5efrcpvb7+IlnbmgcAJIxXrKsqk8neckaq96d5A1J/klr7UhV/WCS9yd5Y5K1frq3dcZznXWXD7b2QJIHkmRhYWHNx7C2aYqxJNm/Z1eWlpfXXLe0vJz9e3Ztar8Hb3vhDY0DQDLGM2SttTe21r59jY+Hk7w9ycdGD/21JJdu6j+Z5LZVu9mflcuZJ0fLV45ftk1V7cjKJdA/H8drmlXTFmNJsnf3zhw+dCA3z8/l5vmVL4OdN1Vunp/L4UMHsnf3zk3t944X35J7Xv/yy8buef3Lc8eLb9nynAGYXl3d1P/VJN+T5HeS/O0kfzQa/0SSX62qX8jKTf2vTPK51trFqjpTVa9L8tkk9yR536pt3p7kkSRvTfKZ0X1mbINpjLFL7jq4L991x605efpcvul5N+U/f+Ni9u/ZtekYu+Tn3vzq3PO62/P4iWdy8LYXijEArqurIPvHSf7l6IzW+ay8ezKttc9X1UeTfCHJhSQ/OnqHZZK8M8mvJNmVlXdXfmo0/v4kH6yq41k5M3b3pF7EtJvmGLtk7+6dWw6wtdzx4luEGAAbVrN6MmlhYaEdPXq062n01izEGABMWlU91lpbuHLcb+rnKmIMACZLkHEZMQYAkyfIeJYYA4BuCDKSiDEA6JIgQ4wBQMcE2YwTYwDQPUE2w8QYAPSDIJtRYgwA+kOQzSAxBgD9IshmjBgDgP4RZDNEjAFAPwmyGSHGAKC/BNkMEGMA0G+CbMqJMQDoP0E2xcQYAAyDIJtSYgwAhkOQTSExBgDDIsimjBgDgOERZFNEjAHAMAmyKSHGAGC4BNkUEGMAMGyCbODEGAAMnyAbMDEGANNBkA2UGAOA6SHIBkiMAcB0EWQDI8YAYPoIsgERYwAwnQTZQIgxAJhegmwAxBgATDdB1nNiDACmnyDrMTEGALNBkPWUGAOA2SHIekiMAcBsEWQ9I8YAYPYIsh4RYwAwmwRZT4gxAJhdgqwHxBgAzDZB1jExBgAIsg6JMQAgEWSdEWMAwCWCrANiDABYTZBNmBgDAK4kyCZIjAEAaxFkEyLGAIBrEWQTIMYAgPUIsjETYwDA9QiyMRpSjJ06u5gnTjyTU2cXJ7IdAPCcHV1PYFoNKcYefvwruf/IsczPzWVpeTmHDx3IXQf3jW07AOByzpCNwZBi7NTZxdx/5FjOLy3nzOKFnF9azn1Hjl33jNdmtwMAribIxuDr55by745/rfcxliQnT5/L/Nzl/wzm5+Zy8vS5sWwHAFzNJcsx2PNNz8vDP/bdef7NO3odY0myf8+uLC0vXza2tLyc/Xt2jWU7AOBqzpCNyQt2zfc+xpJk7+6dOXzoQG6en8stO3fk5vm5HD50IHt37xzLdgDA1aq11vUcOrGwsNCOHj3a9TR649TZxZw8fS779+y6oaja7HYAMIuq6rHW2sKV4y5ZkmTljNdmgmqz2wEAz3HJEgCgY4IMAKBjggwAoGOCDACgY4IMAKBjggwAoGOCDACgY4IMAKBjggwAoGOCDACgY4IMAKBjggwAoGOCDACgY4IMAKBjggwAoGOCDACgY4IMAKBjggwAoGOCDACgY4IMAKBj1Vrreg6dqKqnk/xp1/MYsFuTfK3rSXDDHLfhccyGyXEbpkkct29prb3oysGZDTK2pqqOttYWup4HN8ZxGx7HbJgct2Hq8ri5ZAkA0DFBBgDQMUHGZj3Q9QTYFMdteByzYXLchqmz4+YeMgCAjjlDBgDQMUEGANAxQcZVqupgVT1aVY9X1dGqeu2qde+qquNV9cWq+v5V46+pqidH636xqmo0vrOqPjIa/2xV3d7BS5oZVfXjo2Pz+ao6vGrcceu5qvqpqmpVdeuqMceth6rqvVX1h1V1rKp+vapeuGqdYzZAVfWm0TE7XlU/3ckkWms+fFz2keQ3k/yd0fLfTfI7o+U7kzyRZGeSVyT5j0luGq37XJLXJ6kkn1q1/X+X5H8bLd+d5CNdv75p/Ujyt5J8OsnO0eff7LgN4yPJbUl+Iyu/rPpWx63fH0m+L8mO0fJ7krzHMRvuR5KbRsfqW5M8b3QM75z0PJwhYy0tyfNHyy9I8tXR8puTfLi1ttha+1KS40leW1UvTfL81tojbeVf94NJ3rJqmw+Mlh9K8oZL/2XItntnkp9vrS0mSWvtz0bjjlv//Ysk92Xla+8Sx62nWmu/2Vq7MPr00ST7R8uO2TC9Nsnx1toft9a+keTDWTkuEyXIWMtPJnlvVZ1I8s+TvGs0vi/JiVWPOzka2zdavnL8sm1G38C+nmTvuCY+416V5G+OLnv8blV952jcceuxqroryVdaa09cscpxG4YfzsoZr8QxG6prHbeJ2jHpJ6QfqurTSV6yxqp3J3lDkn/SWjtSVT+Y5P1J3piVU+1XauuM5zrruEHXOW47kuxJ8rok35nko1X1rXHcOned4/YzWbkEdtVma4w5bhOy3jFrrT08esy7k1xI8qFLm63xeMes/3pxDATZjGqtvfFa66rqwST//ejTX0vyr0fLJ7Nyr8sl+7NyOfNknjtlv3p89TYnq2pHVi6B/vlW5z+rrnPc3pnkY6NLIp+rquWs/KFcx61j1zpuVfXqrNxr9MToKtX+JP9+9EYax61D632tJUlVvT3J30vyhtHXXOKYDdW1jttEuWTJWr6a5HtGy387yR+Nlj+R5O7Ru4JekeSVST7XWvv/kpypqteN7n24J8nDq7Z5+2j5rUk+s+qbF9vr41k5XqmqV2Xl5tSvxXHrrdbak621b26t3d5auz0rPxj+RmvtP8Vx662qelOS+5Pc1Vr7y1WrHLNh+v0kr6yqV1TV87Ly5opPTHoSzpCxln+c5F+O/mvtfJJ7k6S19vmq+miSL2TlNP2PttYujrZ5Z5JfSbIrK/dTXLqn4v1JPlhVx7PyX313T+pFzKBfTvLLVfUHSb6R5O2jb+yO2wD5euu1f5WVd1L+1ujM5qOttXc4ZsPUWrtQVT+WlXc635Tkl1trn5/0PPzpJACAjrlkCQDQMUEGANAxQQYA0DFBBgDQMUEGANAxQQYA0DFBBgxaVf1JVd26zfv8mSs+/3+2c/8bnMPLquqhST8v0A2/hwwYtKr6kyQLrbWvbeM+z7bWdm/X/gCuxxkyYDCq6r+tqs9V1eNV9b9X1U3XW19V76yqw6se8w+r6n2j5Y9X1WNV9fmqunc09vNJdo328aHR2NnR/1ZVvbeq/qCqnqyqt43Gv7eqfqeqHqqqP6yqD43+RM61XsefVNX/UlWPVNXRqvobVfUbVfUfq+odo8fcPvqrC5fm/LGq+rdV9UerXw8wHQQZMAhV9V8meVuS72qtHUxyMckPbWD9Q0l+YNWu3pbkI6PlH26tvSbJQpKfqKq9rbWfTnKutXawtfZDudwPJDmY5DuSvDHJe6vqpaN1fz3JTya5M8m3Jvmu67ykE6211yf5v7LyJ3XemuR1SX7uGo8/OJr7q5O8rapuu8bjgAHytyyBoXhDktck+f3RyaddSf7seutba09X1R9X1euS/FGSv5rk3422+Ymq+m9Gy7dl5Y9Bn1pnDt+d5N+M/j7hU1X1u0m+M8lfZOWPSJ9Mkqp6PMntSf7vdfZ16Y8XP5lkd2vtTFb+APX5qnrhGo//7dba10f7/0KSb0lyYp39AwMiyIChqCQfaK2967LBqn+43vqRjyT5wSR/mOTXW2utqr43K2e5Xt9a+8uq+p0kN29gDteyuGr5Yq7//fXS45ev2Hb5Gtve6P6BAXHJEhiK307y1qr65iSpqr9SVd+ywfUfS/KWJP8gz12ufEGS06MY+2tZuVx4yVJVza8xh9/LyuXCm6rqRUn+qySf256XB8wyQQYMQmvtC0n+WZLfrKpjSX4ryUs3sr61djrJF5J8S2vtUkD92yQ7Ro/9n5M8uurpHkhy7NJN/av8epJjSZ5I8pkk97XW/tO2vlBgJvm1FwAAHXOGDACgY24KBRiTqvr1JK+4Yvj+1tpvdDEfoL9csgQA6JhLlgAAHRNkAAAdE2QAAB0TZAAAHfv/AY9zzRYmpWT4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax=mdf.plot.scatter(x='elevation_min', y='min', figsize=(10,10))\n",
    "ax.plot((-9000, 0), (-9000,0))\n",
    "ax.set_aspect('equal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "692e2033-80c0-41e3-b620-4401db17188f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mdf.range.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75a058da-ea86-441e-b434-dda304bbb6cb",
   "metadata": {
    "tags": []
   },
   "source": [
    "### findings\n",
    "\n",
    "for mars quads, it looks like the biggest topography differences are in two quads which have double or more than double the range of most other tiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "9b108338-b9e2-45d3-b353-fd521f1c27ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0.4172325134277344 mm\n",
       "1     0.7152557373046875 mm\n",
       "2     0.8940696716308594 mm\n",
       "3     0.5364418029785156 mm\n",
       "4     0.5960464477539062 mm\n",
       "5     0.5364418029785156 mm\n",
       "6     0.7748603820800781 mm\n",
       "7     1.4901161193847656 mm\n",
       "8     1.5497207641601562 mm\n",
       "9     0.6556510925292969 mm\n",
       "10    0.5364418029785156 mm\n",
       "11    0.5960464477539062 mm\n",
       "12    0.5960464477539062 mm\n",
       "13    0.7152557373046875 mm\n",
       "14    1.2516975402832031 mm\n",
       "15    0.7152557373046875 mm\n",
       "16    1.2516975402832031 mm\n",
       "17    0.8940696716308594 mm\n",
       "18    0.5960464477539062 mm\n",
       "19    0.5364418029785156 mm\n",
       "20    0.8344650268554688 mm\n",
       "21    0.5960464477539062 mm\n",
       "22    0.6556510925292969 mm\n",
       "23    0.5364418029785156 mm\n",
       "24    0.7152557373046875 mm\n",
       "25    0.7748603820800781 mm\n",
       "26    0.8344650268554688 mm\n",
       "27    0.8940696716308594 mm\n",
       "28     0.476837158203125 mm\n",
       "29    0.5364418029785156 mm\n",
       "Name: range, dtype: object"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(mdf.range).apply(lambda _: ((_*u.m)/base_256_3).to(u.mm)) # finest possible resolution per quas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "b2616382-e0ce-4e95-b4b8-8ea61521e4f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$1.5497208 \\; \\mathrm{mm}$"
      ],
      "text/plain": [
       "<Quantity 1.54972076 mm>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "((26000*u.m)/base_256_3).to(u.mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "528e6f69-52b4-4139-b5ac-480eee8c1f83",
   "metadata": {},
   "source": [
    "so it looks like we could pick a universal resolution of about 1.55 mm as singular value, trusting that we have a different min value for each.\n",
    "\n",
    "If we wanted a single min value and resolution we'd just use what I did to start with. to the point that this is kinda a bit of deminishing returns, we can apparently do only as good as about 0.41mm of resolution in the least range quad which, while 3.5 times better, probably isn't worth the added complexity of encoding per quad. \n",
    "\n",
    "Therefore we arrive at the following spec :\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e1bbc93c-008c-4813-9b36-0bd44f3d1fce",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:m2020] *",
   "language": "python",
   "name": "conda-env-m2020-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

## rgb_encodings_planets.json
{"mercury": {"minimum_elevation_m": -6000.0, "maximum_elevation_m": 5000.0, "resolution_m": 0.00066221, "body": "mercury"}, "venus": {"minimum_elevation_m": -4000.0, "maximum_elevation_m": 13000.0, "resolution_m": 0.00102341, "body": "venus"}, "earth": {"minimum_elevation_m": -11500.0, "maximum_elevation_m": 9500.0, "resolution_m": 0.00126421, "body": "earth"}, "moon": {"minimum_elevation_m": -9500.0, "maximum_elevation_m": 11500.0, "resolution_m": 0.001264215, "body": "moon"}, "mars": {"minimum_elevation_m": -8500.0, "maximum_elevation_m": 21500.0, "resolution_m": 0.00178993, "body": "mars"}, "anyrock": {"minimum_elevation_m": -10000.0, "maximum_elevation_m": 22000.0, "resolution_m": 0.00192642, "body": "any"}}

## zonal_stats.json

      
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