Book Image

Python Geospatial Analysis Essentials

By : Erik Westra
Book Image

Python Geospatial Analysis Essentials

By: Erik Westra

Overview of this book

Table of Contents (13 chapters)
Python Geospatial Analysis Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


Congratulations! You have finished implementing a suite of programs that use a range of geospatial analysis techniques to match recorded GPS data to an existing network of roads. In the process of creating the GPS Heatmap system, you have learned how to convert existing road data into a network, how to represent a network of roads within a database, and how to use this data to implement a sophisticated map matching algorithm. This algorithm was then used to calculate a tally of how often each road segment was used by the recorded GPS data, and the tallies were then used to generate a nice-looking heatmap showing the most commonly used roads.

Even if you are not interested in capturing your own GPS data and matching it against a map, the techniques we have used in this chapter will give you many ideas for your own development efforts. Using a combination of Python, GDAL and OGR, Shapely, PyProj, PostGIS and Mapnik, you now have a fantastic arsenal of tools for processing, analyzing...