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GRASS-GIS orchestration using pyWPS (2)

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Generic workflow that run r.watershed, with auxiliary services: r.math and geotiff2png. Watershed accumulation is calculated from DEM using r.watershed, the accumulation result is then filtered using r.math with equation:output=(if(a>10,a,null())) Generic workflow that run r.watershed, with auxiliary services: r.math and geotiff2png. Watershed accumulation is calculated from DEM using r.watershed, the accumulation result is then filtered using r.math with equation: output=(if(a>10,...

Created: 2011-04-18 | Last updated: 2011-04-25

Credits: Jorgejesus

Voronoi polygon generation using GRASS-GIS... (1)

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Generic example on how to deal with vectorial data. Major pitfall is the need to process ProcessOutputs using Xpath plugin. A random point file in GML 2.1.2 is sent to the v.voronoi service and after it is sent to a service that runs v.out.svg generating a SVG image that can be rendered in Taverna (need to set output to SVG image)

Created: 2011-04-27 | Last updated: 2011-04-27

Credits: Jorgejesus

WPS-GRASS-Bridge r.los example (1)

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r.los generates a raster output map in which the cells that are visible from a user-specified observer position are marked with the vertical angle (in degrees) required to see those cells (viewshed). A value of 0 is directly below the specified viewing position, 90 is due horizontal, and 180 is directly above the observer. The angle to the cell containing the viewing position is undefined and set to 180. http://grass.fbk.eu/grass62/manuals/html62_user/r.los.html

Created: 2011-10-13

Credits: Jorgejesus

r.stats workflow for pixel statistics (1)

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r.stats operation for image. Output will group pixels by: DN, total area, relative %. This worflow is used inside the ice Class exampel as a nested workflow

Created: 2011-11-02 | Last updated: 2011-11-02

Credits: Jorgejesus

Ice Class Map pixel analysis (NERSC) (1)

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NERSC ice classification workflow. Avaible images for a specific date will be fecthed from the WPS service, and their color table changed to allow for a user to easly identify specific areas. Statistical analysis also run using the r.stats module. Worflow uses a list of image, the list will flow thru the workflow for process resulting in mutiple outputs

Created: 2011-11-02 | Last updated: 2011-11-02

Credits: Jorgejesus

Watershed (2)

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Local machine example

Created: 2012-05-21 | Last updated: 2012-05-21

Credits: Jorgejesus