Geoprocessing mit Python: Unterschied zwischen den Versionen
Aus Geoinformation HSR
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| − | + | See also [[Python]]. | |
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| + | == Ressourcen == | ||
| + | |||
| + | 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] | ||
| + | * 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, [http://www.gis.usu.edu/~chrisg/python/]. | ||
| + | |||
| + | Web Processing Services ([[WPS]]): | ||
| + | * PyWPS Web Processing Service ([http://pywps.wald.intevation.org/documentation/]): 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 ([http://code.google.com/p/webprocessingserver/]) | ||
| + | |||
| + | == Vektor-Daten == | ||
| + | |||
| + | * [[OGR]] | ||
| + | * Rasterio (mit NumPy): http://sgillies.net/blog/2014/02/10/rasterio-0-6.html | ||
| + | |||
| + | === OGR mit Python programmieren === | ||
| + | * Fiona Library [https://github.com/Toblerity/Fiona] [https://pypi.python.org/pypi/Fiona] | ||
| + | * tbd. | ||
| + | |||
| + | == Raster-Daten == | ||
| + | |||
| + | * [[GDAL]] | ||
| + | |||
| + | === GDAL mit Python programmieren === | ||
| + | * tbd. | ||
Version vom 3. April 2014, 01:12 Uhr
See also Python.
Inhaltsverzeichnis
Ressourcen
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
- Rasterio (mit NumPy): http://sgillies.net/blog/2014/02/10/rasterio-0-6.html
OGR mit Python programmieren
Raster-Daten
GDAL mit Python programmieren
- tbd.
