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UID:pretalx-foss4g-2022-LXQJVU@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T141500
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DESCRIPTION:Although GRASS GIS has been used for big data processing for a 
 while now\, you may think that some esoteric knowledge is needed to take f
 ull advantage of its computational power. The purpose of this talk is to d
 emonstrate simple ways to parallelize your computations in GRASS GIS\, tha
 t are applicable whether you are working on your laptop or HPC. I will giv
 e an overview of the state of parallelization of individual tools\, show b
 enchmarks\, and introduce you to other GRASS GIS parallelization tricks. I
  will use examples relevant to land change modeling and share our experien
 ce with simulating urban growth at 30m pixel across the contiguous United 
 States (16 billion cells) using FUTURES simulation implemented in r.future
 s addon. This talk is for all levels of expertise\, although basic Python 
 or GRASS GIS knowledge will be advantageous. \n\nGRASS GIS is a well estab
 lished\, all-in-one geospatial number cruncher with Python interface\, com
 mand line\, and GUI\, with new major version 8.0 released in spring 2022.\
 n\nFUTURES is an open source urban growth model specifically designed to c
 apture the spatial structure of development. It can accommodate the input 
 of a variety of datasets with different spatial extents and can be coupled
  to other models. FUTURES is implemented in r.futures GRASS GIS addon.
DTSTAMP:20260404T165256Z
LOCATION:Room 9
SUMMARY:Tips for parallelization in GRASS GIS in the context of land change
  modeling - Anna Petrasova\, Vaclav Petras
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/LXQJVU/
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