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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

KML

Keyhole Markup Language (KML), referring to the company that developed the format. It can be used to store geographic data which can be visualized using a host of applications such as Google Earth, Esri ArcGIS Explorer, Adobe Photoshop, and AutoCAD. KML is based on XML, using a tag-based structure with nested elements and attributes. KML files are often distributed in KMZ files, which are zipped KML files with a .kmz extension. For its reference system, KML uses longitude, latitude, and altitude coordinates, defined by the World Geodetic System of 1984 (WGS84). 

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Publisher Resources

ISBN: 9781788293334Supplemental Content