Skip to content

Instantly share code, notes, and snippets.

@dandye
Created May 7, 2014 01:34
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save dandye/1383b5f23b9f30e4de4c to your computer and use it in GitHub Desktop.
Save dandye/1383b5f23b9f30e4de4c to your computer and use it in GitHub Desktop.
Intro to Open Source Geospatial with Python
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Introduction\n",
"==============\n",
"\n",
"I (@DanDye) am a member of the \"PyGIS\" group on LinkedIn and Karim Bahgat shared his [Index of GIS-related Python Libraries](http://pythongisresources.wordpress.com/)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import HTML\n",
"HTML('<iframe src=http://pythongisresources.wordpress.com/ width=1000 height=600></iframe>')\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe src=http://pythongisresources.wordpress.com/ width=1000 height=600></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
"<IPython.core.display.HTML at 0x8773da0>"
]
}
],
"prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" * GDAL/OGR on Windows \n",
" * Native\n",
" * Cygwin/OSGeo4W\n",
" * GDAL/OGR on Windows + Python Bindings\n",
" * GDAL/OGR on Windows + Python Bindings + Other Stuff\n",
" * I recommend: [Anaconda](https://store.continuum.io/cshop/anaconda/)\n",
"\n",
"'''>>> conda install gdal '''\n",
"\n",
"\n",
"Afterwards, the GDAL/OGR Utilities are not in the path but they live here:\n",
"\n",
"[GDAL Utilities](file:\\C:\\Users\\ddye\\AppData\\Local\\Continuum\\Anaconda\\pkgs\\gdal-1.10.1-np18py27_2\\Lib\\site-packages\\osgeo\\)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import HTML\n",
"HTML('<iframe src=http://www.gdal.org/ogr2ogr.html width=1000 height=600></iframe>')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe src=http://www.gdal.org/ogr2ogr.html width=1000 height=600></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
"<IPython.core.display.HTML at 0x8773b38>"
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"OGR2OGR.EXE (conceptual) exercise\n",
"=============================\n",
"\n",
"Create State Flash Cards (PNGs) from a Shapefile of the USA. Each card's state should be zoomed to the full extent.\n",
"\n",
"Step 1: Query for a list of unique STATE_NAMEs\n",
"\n",
"Step 2: Extract each state's geographic feature with a WHERE clause on the STATE_NAME\n",
"\n",
"Step 3: Convert each SHP to a PNG"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import HTML\n",
"HTML('<iframe src=http://www.gdal.org/gdal_utilities.html width=1000 height=600></iframe>')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe src=http://www.gdal.org/gdal_utilities.html width=1000 height=600></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 2,
"text": [
"<IPython.core.display.HTML at 0x8773908>"
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"HTML('<iframe src=https://2014.foss4g.org/ width=1000 height=600></iframe>')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe src=https://2014.foss4g.org/ width=1000 height=600></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 2,
"text": [
"<IPython.core.display.HTML at 0x4e32278>"
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"HTML('<iframe src=https://conference.scipy.org/scipy2014/ width=1000 height=600></iframe>')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe src=https://conference.scipy.org/scipy2014/ width=1000 height=600></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": [
"<IPython.core.display.HTML at 0x8773ba8>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"HTML('<iframe src=http://pydata.org/ width=1000 height=600></iframe>')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe src=http://pydata.org/ width=1000 height=600></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": [
"<IPython.core.display.HTML at 0x8773c18>"
]
}
],
"prompt_number": 5
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment