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Geospatial Development By Example with Python

You're reading from   Geospatial Development By Example with Python Build your first interactive map and build location-aware applications using cutting-edge examples in Python

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785282355
Length 340 pages
Edition 1st Edition
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Author (1):
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Pablo Carreira Pablo Carreira
Author Profile Icon Pablo Carreira
Pablo Carreira
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Table of Contents (12) Chapters Close

Preface 1. Preparing the Work Environment 2. The Geocaching App FREE CHAPTER 3. Combining Multiple Data Sources 4. Improving the App Search Capabilities 5. Making Maps 6. Working with Remote Sensing Images 7. Extract Information from Raster Data 8. Data Miner App 9. Processing Big Images 10. Parallel Processing Index

Chapter 5. Making Maps

In this chapter, we will start a new application and use it to produce nice maps from vector data.

In order to produce these maps, we will use Mapnik, one of the world's most used mapping packages. The objective is to understand how it works and adapt it to make an easy-to-use mapping application.

In the previous chapters, we produced some very functional classes that abstract geographic data; we will make this app capable of consuming this type of data.

We will cover the following topics:

  • Getting to know Mapnik and see how it works
  • Seeing the differences between pure Python and XML when defining a map
  • Experimenting with different styles
  • Using Python objects as a source of data for Mapnik
  • Abstracting Mapnik into a high-level application
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