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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 4. Improving the App Search Capabilities

So far, our app is capable of simply searching points that are close to a defined location. In this chapter, we are going to make a huge steep and make our app filter the data by geographic boundaries and by any field in the data.

By the end of this chapter, you will be able to search geocaching points that are inside a given city, state, country, or any boundary defined by you. In addition, you will be able to search points by any of its properties such as difficult levels, name, user, and so on. It will also be possible to combine multiple filters.

In the process, we will see how to work with polygons and how the relations between geometries can be analyzed in a geoprocessing application.

To achieve these goals, we will go through the following topics:

  • How to describe polygons using well-known text
  • Using the Shapely package to handle geometries
  • Importing polygon data
  • Importing line data
  • The use of base classes and inheritance
  • The types...
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