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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd 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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Table of Contents (15) Chapters Close

Preface 1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

GIS data formats

A GIS data format specifies how geospatial data is stored in a file (or multiple files) on disk. The format describes the logical structure used to store geospatial data within the file(s).

Note

While we talk about storing information on disk, data formats can also be used to transmit geospatial information between computer systems. For example, a web service might provide map data on request, transmitting that data in a particular format.

A GIS data format will typically support:

  • Geospatial data describing geographical features.
  • Additional meta-data describing this data, including the datum and projection used, the coordinate system and units that the data is in, the date this file was last updated, and so on.
  • Attributes providing additional information about the geographical features that are being described. For example, a city feature may have attributes such as name, population, average temperature, and so on.
  • Display information, such as the color or line style to use when...
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