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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

Importing lines


As we did with the geocaching points and political boundaries, we will implement the ability of the program to import lines (that is, linestrings). These lines can represent roads, rivers, power lines, and so on. With this kind of features, we will be able to search for points that are close to a given road for example.

The lines and the collection of lines will also be the subclasses of BaseGeoObject and BaseGeoCollection. Let's start by making a LineString and a LineStringCollection class, as follows:

  1. Insert this new class into the models.py file. It could be anywhere after the base classes' definition:

    class LineString(BaseGeoObject):
        """Represents a single linestring."""
        def __repr__(self):
            return self.get_attribute('name')

    Again, we only implement the __repr__ method. The other functionalities are inherited from the BaseGeoObject class.

  2. Now, add the class representing a collection of linestrings and its _parse_data method:

    class LineStringCollection(BaseGeoCollection...
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