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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

Summary


In this chapter, we saw that the different types of relationships between geometries can be tested, and that these tests can be used in the program to solve problems.

In order to filter by polygons, first we used the same code to import these polygons into the system like we did with the points, but this time we used Shapely to abstract the geometries of the polygons and points. Finally, we used geometry relationships to search for points inside the polygons.

Then, we implemented a way to filter the data by the name property and we made it filter the data by any property of the object or any combination of properties.

Finally, we adapted the app class to work with the new changes and saw that it's possible to add convenience methods to it in order to simplify some tasks.

In the next chapter, we will start working on the Map Maker App and create means to visualize our data.

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