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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 (17) Chapters Close

Geospatial Development By Example with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
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

Creating the Map Maker app


Now we will prepare an environment that is capable of using this data source. We are going to adapt the previous experiments into building blocks for the application and put them inside an application class, just as we did with the Geocaching app.

First let's organize the folder and files.

  1. Create a new package called map_maker inside your Chapter5 folder. To do this, right-click on the folder and chose New | Python Package.

  2. Move the my_datasource.py file to the map_make folder (drag and drop it).

  3. Copy the map_style.xml and map_functions.py files that are inside the mapnik_experiments folder to the map_maker folder.

  4. Rename map_style.xml to styles.xml.

  5. In the Chapter5 root, create a file named map_maker_app.py. The complete tree structure should look like this:

    Chapter5
    │   geocaching_app.py
    |   map_maker_app.py
    │   models.py
    │
    ├───mapnik_experiments
    │
    ├───map_maker
    │       __init__.py
    │      my_datasource.py
    |       styles.xml
    |       map_functions.py
    │
    ├───utils

    Now we...

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