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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

Summary


In this chapter, we explored the Mapnik map-generation toolkit in depth. We learned that maps are composed of multiple layers, drawn one on top of the other using the painter's algorithm. We saw that each layer has a data source and a list of styles that determine how the data is to be displayed. Styles are referred to by name, so they can be shared between the various map layers.

We learned that each style has a list of rules associated with it, where each rule can optionally have a filter limiting the set of features to be displayed as well as a list of symbolizers that control how the matching features are to be drawn.

We then saw how the mapnik.Map object combines the styles and map layers and how the map can be used to zoom in to a particular area of the world before rendering an image based on the map's contents.

We put all these concepts together into a simple map-generating program before delving deeper into the Mapnik library. We examined four of the major types of data sources...

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