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

Summary


In this chapter, we discussed many of the core concepts that underlie GIS development, examined some of the more common GIS data formats, and got our hands dirty exploring US state data downloaded from the US Census Bureau web site.

We saw that locations are often, but not always, represented using coordinates, learned that calculating the distance between two points requires you to take into account the curvature of the Earth's surface, and discovered why you must always be aware of the units used by geospatial data.

We then learned about map projections, which represent the three-dimensional shape of the Earth's surface as a two-dimensional plane, and saw that there are three main classes of map projection: cylindrical, conic, and azimuthal. We discovered that datums are mathematical models of the Earth's shape, and learned that the three most common datums in use are called NAD 27, NAD 83, and WGS 84.

We next examined the concept of coordinate systems and saw that these are used...