Geoprocessing mit Python: Unterschied zwischen den Versionen

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== Ressourcen ==
 
== Ressourcen ==
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Community Help [http://gis.stackexchange.com/questions/tagged/python about Python on gis.stackexchange].
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Books:
 
Books:
 
* Buch "Python Geo Spatial Development", by Erik Westra, Packt Publishing (Dec 2010), [Paperback], 508 pages. ISBN-10: 1849511543, ISBN-13: 978-1849511544. [http://www.amazon.com/dp/1849511543/ref=rdr_ext_sb_ti_sims_2]
 
* Buch "Python Geo Spatial Development", by Erik Westra, Packt Publishing (Dec 2010), [Paperback], 508 pages. ISBN-10: 1849511543, ISBN-13: 978-1849511544. [http://www.amazon.com/dp/1849511543/ref=rdr_ext_sb_ti_sims_2]
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=== OGR mit Python programmieren ===
 
=== OGR mit Python programmieren ===
* Fiona Library [https://github.com/Toblerity/Fiona] [https://pypi.python.org/pypi/Fiona]
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* Fiona Library - OGR API [https://github.com/Toblerity/Fiona] [https://pypi.python.org/pypi/Fiona]
* tbd.
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* Shapely - a BSD-licensed Python package for manipulation and analysis of planar geometric objects. It is based on the widely deployed GEOS (the engine of PostGIS) and JTS (from which GEOS is ported) libraries. https://pypi.python.org/pypi/Shapely / http://toblerity.org/shapely/manual.html / http://www.macwright.org/2012/10/31/gis-with-python-shapely-fiona.html
  
 
== Raster-Daten ==
 
== Raster-Daten ==

Aktuelle Version vom 6. Oktober 2015, 15:30 Uhr

See also Python.

Ressourcen

Community Help about Python on gis.stackexchange.

Books:

  • Buch "Python Geo Spatial Development", by Erik Westra, Packt Publishing (Dec 2010), [Paperback], 508 pages. ISBN-10: 1849511543, ISBN-13: 978-1849511544. [1]
  • Geoprocessing mit Python und PostGIS.
  • Geoprocessing mit Python und Open Source GIS: Siehe z.B. Vorlesung "Geoprocessing with Python using Open Source GIS" by Chris Garrard, Utah State University, [2].

Web Processing Services (WPS):

  • PyWPS Web Processing Service ([3]): PyWPS is a Python program which implements the OGC WPS 1.0.0 standard (with a few omissions). PyWPS has a low footprint, making it easy to install. Python was considered a good choice of implementation language as it is a very easy language to develop in and allows partners to easily integrate existing processing which may have been written in other languages.
  • WebProcessingServer ([4])

Vektor-Daten

OGR mit Python programmieren

Raster-Daten

GDAL mit Python programmieren

  • tbd.