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

Downloading and importing the data


As described in the previous section, the DISTAL application will make use of four separate sets of freely available geospatial data:

  • The World Borders Dataset

  • The high-resolution GSHHG shoreline database

  • The GNIS Database of US place names

  • The GEONet Names Server's list of non-US place names

Note

For more information on these sources of data, refer to Chapter 4, Sources of Geospatial Data.

Let's work through the process of downloading and importing each of these datasets in turn.

The World Borders Dataset

You downloaded a copy of this dataset earlier. Create a subdirectory named data within your DISTAL directory, and place a copy of the TM_WORLD_BORDERS-0.3 directory into the data directory. Then, create a new Python program named import_world_borders.py within your DISTAL directory, and enter the following into it:

import os.path
import psycopg2
import osgeo.ogr

connection = psycopg2.connect(database="distal",
                              user="distal_user",...