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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

Geometry relationships


We want to filter the geocaching points that fall inside a given boundary (a country, state, city, and so on.). In order to perform this kind of filtering, we need to verify every point and see whether it's inside the polygon representing the boundary.

In geoprocessing, the relations between the two geometries are described by a set of known predicates. These relationships are very important because they allow conditions to be made, so one can perform operations and calculations.

Shapely comes with a complete set of predicates that analyze the relation of the two geometries. Before we go further in our app, let's take a look at the possible relation checks.

Touches

This is true if the geometries have one or more points in common without their interiors intersecting.

Crosses

This is true if there is an intersection between the two objects without one containing the other.

Contains

This indicates if one object completely contains the other object; all the boundaries, lines,...

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