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Python Geospatial Development - Third Edition
book

Python Geospatial Development - Third Edition

by Erik Westra
May 2016
Beginner to intermediate
446 pages
10h 7m
English
Packt Publishing
Content preview from Python Geospatial Development - Third Edition

Summary

In this chapter, we surveyed a number of sources of freely-available geospatial data. For vector-format data, we looked at OpenStreetMap, a collaborative site where people can create and edit vector maps worldwide; TIGER, which is a service of the US Census Bureau; the Natural Earth Data web site; the GSHHG high-resolution shoreline database; and the simple but effective World Borders Dataset.

For geospatial data in raster format, we looked at Landsat imagery, the GLOBE digital elevation model, and the high-resolution National Elevation Dataset for the US and its protectorates.

We then looked at two sources of place name data: the GEOnet Names Server, which provides information about official place names for every country other than the ...

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Publisher Resources

ISBN: 9781785288937