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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

Integrating new functionality into the application

In Chapter 2, The Geocaching App, we developed the application so that it could find points close to your location. However, the data was organized differently inside the application; although it was a very efficient way of handling data, it became very hard for us to understand how to perform operations on this data.

Through abstraction, we implemented a new form of data representation—one that is very intuitive and easy to use.

Now, we will change the application so that it can use this new type of data to perform its functions and also to aggregate the new capability of combining multiple sources of data.

Take a look at the GeocachingApp and PointCollection classes; you may notice that they have some parts that look similar to each other. Both of them store data and have methods to open data.

At this point, with little modification, if we transfer methods from one class to another, we could end up with a functional application, and...

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