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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, the challenge was to find a way to combine data from multiple sources. The solution for this is to make code that can take different types of data and transform it into a common type of object.

In order to achieve this, we first created two new Python classes. The first was the Geocache class, which represents a single geocache location and contains its coordinates, a name, and a description. The second was the PointCollection class, which represents a collection of Geocache objects. This class has the ability to import and convert the information from as many files as needed.

This technique that we used is called abstraction; its foundations reside in hiding complex procedures behind objects that can be easily understood by humans.

Finally, we integrated this new layer of abstraction into the application using class inheritance. The GeocachingApp class inherited the PointCollection, and in the end, it could behave similarly to any and both of them at the same time...

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