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Python Scripting for Spatial Data Processing

  • Category: Python Programming
  • Author: Pete Bunting, Daniel Clewley
  • License: CC BY-SA 3.0
  • File type: PDF (194 pages, 695 KB)

Read and download free eBook intituled Python Scripting for Spatial Data Processing in format PDF (194 pages, 695 KB) created by Pete Bunting, Daniel Clewley.

This book is a Python tutorial for beginners aiming at teaching spatial data processing. It is used as part of the courses taught in Remote Sensing and GIS at Aberystwyth University, UK.

Geographic information systems belong the group of applications that process spatial data. Some spatial analyses are operated repetitively in the same way for different area or district. Therefore it is useful when the data processing can be run automatically by program extension designed especially for batch data processing. We use Python to automatically convert data flow diagram into the program code, using psycopg2, and ogr2ogr, etc.

Python is a high level scripting language which is interpreted, interactive and object-oriented. A key attribute of python is its clear and understandable syntax which should allow you to quickly get up to speed and develop useful application, while the syntax is similar enough to lower level languages, for example C/C++ and Java, to provide a background from which you can grow your expertise.

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Python Scripting for Spatial Data Processing

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