/python-geospatial-analysis-cookbook

Over 60 recipes to work with topology, overlays and indoor routing

Primary LanguageJavaScriptMIT LicenseMIT

python-geospatial-analysis-cookbook

Welcome to the code repository for "Python Geospatial Analysis Cookbook" over 60 python recipes to perform spatial operations and of course build an indoor routing Django web application.

Please post any comments and questions directly as an issue/ticket here in the GitHub Repo.

If you are interested in more about indoor routing see Chapter 10 and Chapter 11. Also please visit the Github repo INDRZ https://www.github.com/indrz to see the official indoor routing and mapping code. The project homepage is indrz

Code for the book Python Geospatial Analysis Cookbook.

Description

A book for developoers, gis programmers, analysts, researchers, gis geeks, IT administrators who ever that want to dabble with python and geospatial analysis.

The reciepes are short and long, full of descriptions and code comments. The book takes you on a journey from installation of spatial libraries to executing fun analysis in a cookbook like tutorial.

Technologies pyshp, gdal, ogr, proj4, django, jinja2, Shapely, folium, matplotlib, networkx, numpy, pandas, psycopg2, pyproj, bootstrap, jquery, typeahead.js, bloodhound.js, openlayers, leaflet

With pip you can install:

pip install [location-path]/master.zip

Or directly from GitHub like this:

pip install https://github.com/mdiener21/python-geospatial-analysis-cookbook/archive/master.zip

Updates

Page number: 46 Currently step 7 includes

sudo su createdb –O pluto –U postgres py_geoan_cb

Correction is:

sudo -u postgres createdb -U postgrs -P pluto py_geoan_cb"