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Geospatial Data Science Quick Start Guide

You're reading from   Geospatial Data Science Quick Start Guide Effective techniques for performing smarter geospatial analysis using location intelligence

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789809411
Length 170 pages
Edition 1st Edition
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Authors (2):
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Abdishakur Hassan Abdishakur Hassan
Author Profile Icon Abdishakur Hassan
Abdishakur Hassan
Jayakrishnan Vijayaraghavan Jayakrishnan Vijayaraghavan
Author Profile Icon Jayakrishnan Vijayaraghavan
Jayakrishnan Vijayaraghavan
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Toc

Building a graph based on a road network

In the previous sections, we learned about the fundamentals of the graph and many of the operations that we can perform on a graph using sample data that we defined. In this section, we will discuss how to import real-world data such as a road network and translate it into a graph and perform analyses on that. For this purpose, we will be importing sample Open Street Maps (OSM) road data that we have provided with this chapter.

Open Street Maps data

OSM provides a rich set of open source and crowdsourced geographic data of many parts of the world. In particular, we are interested in the road data they provide. For the US, they are baselined on census TIGER road shapefiles and benefit...

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