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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Table of Contents (15) Chapters Close

Preface 1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

Creating an example map


To better understand how the various parts of Mapnik work together, let's write a simple Python program to generate the map shown at the start of this chapter. This map makes use of the World Borders Dataset, which you downloaded in an earlier chapter; copy the TM_WORLD_BORDERS-0.3 shapefile directory into a convenient place, and create a new Python script in the same place. We'll call this program createExampleMap.py.

We'll start by importing the Mapnik toolkit and defining some constants the program will need:

import mapnik

MIN_LAT  = -35
MAX_LAT  = +35
MIN_LONG = -12
MAX_LONG = +50

MAP_WIDTH  = 700
MAP_HEIGHT = 800

The MIN_LAT, MAX_LAT, MIN_LONG, and MAX_LONG constants define the lat/long coordinates for the portion of the world to display on the map, while the MAP_WIDTH and MAP_HEIGHT constants define the size of the generated map image, measured in pixels. Obviously, you can change these if you want.

We're now ready to define the contents of the map. This map will...

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