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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

Chapter 2. The Geocaching App

In this chapter, we will build a geocaching app that will initially get geocache points from the Internet and return the coordinates and information on the point closest to a user's location.

We will go through some of the most important steps in every geoprocessing application: we will discuss opening files, reading information, preparing data for analysis, and performing calculations with each object in your data. To achieve this, you will learn how to organize your code with Python and use the resources provided by the language to write consistent applications.

In this chapter, we will start to make use of classes, methods, functions, decorators, and exception handling, which will help us build an application with reusable components and clean code. Don't worry if these terms are new to you; they will be explained in the examples. In short, here's what we will cover:

  • Programming the basic application structures
  • Downloading geocaching...
You have been reading a chapter from
Geospatial Development By Example with Python
Published in: Jan 2016
Publisher:
ISBN-13: 9781785282355
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