Book Image

Python Geospatial Development - Third Edition

By : Erik Westra
Book Image

Python Geospatial Development - Third Edition

By: Erik Westra

Overview of this book

Geospatial development links your data to locations on the surface of the Earth. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you’ll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums, and coordinate systems. This book provides an overview of the major geospatial concepts, data sources, and toolkits. It starts by showing you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Further on, the book teaches you how to build your own slippy map interface within a web application, and finishes with the detailed construction of a geospatial data editor using the GeoDjango framework. By the end of this book, you will be able to confidently use Python to write your own geospatial applications ranging from quick, one-off utilities to sophisticated web-based applications using maps and other geospatial data.
Table of Contents (20 chapters)
Python Geospatial Development Third Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Exercises


If you are interested in exploring the techniques used in this chapter further, you might like to challenge yourself with the following tasks:

  • Change the bounding box calculation to exclude outlying islands.

    Tip

    Hint

    You can split each country's MultiPolygon into individual Polygon objects and then check the area of each polygon to exclude those that are smaller than a given total value.

  • Use the World Borders Dataset to create a new shapefile, where each country is represented by a single Point geometry containing the geographical center of each country.

    Tip

    Hint

    You can start with the country bounding boxes we calculated earlier and then calculate the midpoint using this:

    midLat = (minLat + maxLat) / 2
    midLong = (minLong + maxLong) / 2

    For an extra challenge, you could use Shapely's centroid() method to calculate a more accurate representation of each country's center. To do this, you would have to convert the country's outline into a Shapely geometry, calculate the centroid, and then...