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Python GeoSpatial Analysis Essentials

You're reading from   Python GeoSpatial Analysis Essentials Process, analyze, and display geospatial data using Python libraries and related tools

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781782174516
Length 200 pages
Edition 1st Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Toc

An overview of the GPS Heatmap system


The system we are implementing will be called the GPS Heatmap. We will download a set of road data and convert this data into a network of directed road segments. We will then either generate or download a collection of GPS recordings from various journeys, which we will use to identify commonly-traveled roads. Finally, we will generate a heatmap based on how often the roads are traveled, providing a visual summary of the most commonly-traveled roads captured by the GPS device. The resulting output will look something like the following:

Note

A heatmap typically uses a color gradient ranging from blue to red to draw the roads, with blue used for the less-traveled roads and red for the most commonly traveled roads. In the printed edition of this book, however, the heatmaps will appear in black and white, so we have selected a single shade of blue so that the heatmap still makes sense when printed.

To allow our GPS Heatmap program to work as efficiently...

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