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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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Tools
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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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Toc

Table of Contents (12) Chapters Close

Preface 1. Preparing the Work Environment FREE CHAPTER 2. The Geocaching App 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

Knowing Mapnik

Mapnik is the tool that we will use to produce our maps. It's a very powerful mapping library used by many websites.

In this first topic, we will go through some experiments to get to know Mapnik's features.

Now we will perform a few experiments with Mapnik in order to know how it works. First, let's organize the code for this chapter:

  1. Inside your geopy project, copy the Chapter4 folder and rename it to Chapter5.
  2. Inside the Chapter5 folder, create a new folder named mapnik_experiments. To do that, right-click in your Chapter5 folder and choose New | Directory.
  3. Still in Chapter5, create another folder named output; we will place the maps and images we create into that folder.

Making a map with pure Python

Mapnik has two ways to define a map; one uses pure Python code, the other an XML file.

Mapnik's Python API is very extensive and wraps almost all of the package's functionalities. In the next steps we will experiment with making a map with Python code only...

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