Rutger Hofste rutgerhofste

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<link rel="stylesheet" type="text/css" href="style.css">
<body></body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="script.js"></script>

## gist:f38debeea3bd6106b7acdc2c77ecf69e

      
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                rutgerhofste
                / gist:f38debeea3bd6106b7acdc2c77ecf69e
            
            
              Created
              July 26, 2017 01:46
            
          
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## geopandas01
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## geopandasSolved
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## gist:529cd658967243ff6f89fb7df91a3986
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculate average PCRGlobWB supply using EE\n",
    "\n",
    "* Purpose of script: This script will calculate baseline supply based on runoff for 1960-2014 at 5min resolution\n",
    "* Author: Rutger Hofste\n",

## gist:b5e3ff7862e727a17d1bc77c941bef97
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculate average PCRGlobWB supply using EE\n",
    "\n",
    "* Purpose of script: This script will calculate baseline supply based on runoff for 1960-2014 at 5min resolution\n",
    "* Author: Rutger Hofste\n",

## gist:c6216f1506a8b41b350e01a5b5265b16
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",

## GIS question
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []

## geopandas dissolve
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## gist:e37b0fafed80a62f61598ef0fda5fec9
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
	<!DOCTYPE html>
	<meta charset="utf-8">
	<link rel="stylesheet" type="text/css" href="style.css">
	<body></body>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script src="script.js"></script>
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 64,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 1,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"# Calculate average PCRGlobWB supply using EE\n",
	"\n",
	"* Purpose of script: This script will calculate baseline supply based on runoff for 1960-2014 at 5min resolution\n",
	"* Author: Rutger Hofste\n",
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 22,
	"metadata": {},
	"outputs": [],
	"source": [
	"import matplotlib.pyplot as plt\n",
	"import cartopy.crs as ccrs\n",
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": []
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 36,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [