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Python Geospatial Analysis Cookbook

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Python Geospatial Analysis Cookbook

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Python Geospatial Analysis Cookbook
Nov, 2015 | 310 pages
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Table of Contents (20 chapters)
Python Geospatial Analysis Cookbook
Python Geospatial Analysis Cookbook
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Setting Up Your Geospatial Python Environment
Setting Up Your Geospatial Python Environment
Introduction
Installing virtualenv and virtualenvwrapper
Installing pyproj and NumPy
Installing shapely, matplotlib, and descartes
Installing pyshp, geojson, and pandas
Installing SciPy, PySAL, and IPython
Installing GDAL and OGR
Installing GeoDjango and PostgreSQL with PostGIS
2
Working with Projections
Working with Projections
Introduction
Discovering projection(s) of a Shapefile or GeoJSON dataset
Listing projection(s) from a WMS server
Creating a projection definition for a Shapefile if it does not exist
Batch setting the projection definition of a folder full of Shapefiles
Reprojecting a Shapefile from one projection to another
3
Moving Spatial Data from One Format to Another
Moving Spatial Data from One Format to Another
Introduction
Converting a Shapefile to a PostGIS table using ogr2ogr
Batch importing a folder of Shapefiles into PostGIS using ogr2ogr
Batch exporting a list of tables from PostGIS to Shapefiles
Converting an OpenStreetMap (OSM) XML to a Shapefile
Converting a Shapefile (vector) to a GeoTiff (raster)
Converting a raster (GeoTiff) to a vector (Shapefile) using GDAL
Creating a Shapefile from point data stored in Microsoft Excel
Converting an ESRI ASCII DEM to an image height map
4
Working with PostGIS
Working with PostGIS
Introduction
Executing a PostGIS ST_Buffer analysis query and exporting it to GeoJSON
Finding out whether a point is inside a polygon
Splitting LineStrings at intersections using ST_Node
Checking the validity of LineStrings
Executing a spatial join and assigning point attributes to a polygon
Conducting a complex spatial analysis query using ST_Distance()
5
Vector Analysis
Vector Analysis
Introduction
Clipping LineStrings to an area of interest
Splitting polygons with lines
Finding the location of a point on a line using linear referencing
Snapping a point to the nearest line
Calculating 3D ground distance and total elevation gain
6
Overlay Analysis
Overlay Analysis
Introduction
Punching holes in polygons with a symmetric difference operation
Union polygons without merging
Union polygons with merging (dissolving)
Performing an identity function (difference + intersection)
7
Raster Analysis
Raster Analysis
Introduction
Loading a DEM USGS ACSII CDED into PostGIS
Creating an elevation profile
Creating a hillshade raster from your DEM with ogr
Generating slope and aspect images from your DEM
Merging rasters to generate a color relief map
8
Network Routing Analysis
Network Routing Analysis
Introduction
Finding the Dijkstra shortest path with pgRouting
Finding the Dijkstra shortest path with NetworkX in pure Python
Generating evacuation polygons based on an indoor shortest path
Creating centerlines from polygons
Building an indoor routing system in 3D
Calculating indoor route walk time
9
Topology Checking and Data Validation
Topology Checking and Data Validation
Introduction
Creating a rule – only one point inside a polygon
A point must be on the starting and ending nodes of a line only
LineStrings must not overlap
A LineString must not have dangles
A polygon centroid must be within a specific distance of a line
10
Visualizing Your Analysis
Visualizing Your Analysis
Introduction
Generating a leaflet web map with Folium
Setting up TileStache to serve tiles
Visualizing DEM data with Three.js
Draping an orthophoto over a DEM
11
Web Analysis with GeoDjango
Web Analysis with GeoDjango
Introduction
Setting up a GeoDjango web application
Creating an indoor web routing service
Visualizing an indoor routing service
Creating an indoor route-type service
Creating an indoor route from room to room
Other Geospatial Python Libraries
Other Geospatial Python Libraries
Mapping Icon Libraries
Mapping Icon Libraries
Index
Index

Appendix A. Other Geospatial Python Libraries

We have covered many libraries and examples but we haven't covered them all. This appendix is meant to quickly go over the other libraries out there that play a special role in the Python geospatial working environment. This list is definitely not complete and I have not had the pleasure of working with all these libraries at the time of writing.

The listing is a resource for further reading and experiments that will, hopefully, provide you with a step in the right direction to solve your specific problems. Each description of a library starts with the official library name followed by a short description and a link to the web page:

Library name

Description

Website

Rtree

This is a Python wrapper of libspatialindex that provides advanced spatial indexing features

http://toblerity.org/rtree

rasterio

This is a Mapbox creation that aims at working with rasters in an easier manner

https://github.com/mapbox/rasterio

Fiona

This focuses on reading and writing data in the standard Python I/O style

http://toblerity.org/fiona

geopy

This helps geocoding in Python

http://www.geopy.org

PyQGIS

This is the Python interface to QGIS (formerly known as Quantum GIS) that helps extend QGIS and more

http://pythongisbook.com

GeoPandas

This is an extension of the pandas library and handles geospatial database

http://geopandas.org/

MapFish

This is Python's geospatial web framework

http://mapfish.org

PyWPS

This client interacts with various open geospatial standard services

http://pywps.wald.intevation.org

pycsw

This provides a metadata catalog interface

http://pycsw.org

GeoNode

This provides Python geospatial content management for the Web and is built on the Django web framework and GeoServer

http://geonode.org

mapnik

This is a map visualization library to create maps for web tile cache

http://mapnik.org

cartopy

This is mapping made easy in Python-shapely

http://scitools.org.uk/cartopy

Kartograph

This creates SVG maps or web maps

http://kartograph.org

basemap

This is an extension of matplotlib in combination with descartes

http://matplotlib.org/basemap

SciPy

This is a collection of Python libraries for scientific data analysis that are bundled or available as individual installations

http://www.scipy.org

GeoAlchemy

This is a spatial extension to SQLAlchemy that works with the spatial database PostGIS

http://geoalchemy.org

pyspatialite

This helps you work with spatialite databases of geospatial data

https://pypi.python.org/pypi/pyspatialite

gpxpy

This helps when working with GPS data in the standard GPX format in a Python - friendly format

http://www.trackprofiler.com/gpxpy/index.html

ShaPy

This is a pure Python version of Shapely with no dependencies

https://github.com/karimbahgat/Shapy

pyshp

This reads and writes Shapefiles in pure Python

https://github.com/GeospatialPython/pyshp

TileCache

This is an implementation of a WMS-C (catalog) Tile Mapping Server (TMS) server

http://tilecache.org

TileStache

This is a Python-based server application that can serve up map tiles based on rendered geographic data

http://www.tilestache.org

FeatureServer

This is a restful feature service to easily get, edit, delete, and update features over the Web with the help of HTTP

http://featureserver.org

GeoScript

This is an implementation of Python, giving spatial analysis functionality to other scripting languages and Python is one of them; it is similar to Shapely

http://www.geoscript.org

karta

This is a Leatherman for geographic analyses

http://ironicmtn.com/karta

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