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

Designing and building the database


Let's start our design of the DISTAL application by thinking about the various pieces of data it will require:

  • A list of all the countries. Each country needs to include a simple boundary map, which can be displayed to the user.

  • Detailed shoreline and lake boundaries worldwide. A list of all major cities and towns worldwide.

  • For each city/town, we need to have the name of the city/town and a point representing the location of that town or city.

Fortunately, this data is readily available:

  • The list of countries and their outlines are included in the World Borders Dataset

  • Shoreline and lake boundaries (as well as other land-water boundaries, such as islands within lakes) are readily available using the GSHHG shoreline database

  • City and town data can be found in two places: The GNIS Database provides official place-name data for the United States, while the GEOnet Names Server provides similar data for the rest of the world

Looking at these data sources, we can start...