Markus Neteler: Introduction to GRASS GIS
In this session we will start with a few GRASS GIS basics, showing its concepts. We then focus on analysing the ECA&D data which is a European climatic data time series of daily temporal resolution. Using it we look at the data organization and perform data aggregation in GRASS GIS, along with univariate statistics, raster map algebra, and zonal statistics. This part is followed by classification with machine learning (RandomForest Classifier) and concluded with a quick glance at linear and multiple regression in GRASS GIS.
Required software:
GRASS GIS 7.6: https://grass.osgeo.org/download/software/
Windows users: pls use the OSGeo4W installer!
Linux: offered by your distribution
MacOS: package is available
Required data sets:
https://neteler.gitlab.io/grass-gis-analysis/#course-data-download
Видео Markus Neteler: Introduction to GRASS GIS канала Tomislav Hengl (OpenGeoHub Foundation)
Required software:
GRASS GIS 7.6: https://grass.osgeo.org/download/software/
Windows users: pls use the OSGeo4W installer!
Linux: offered by your distribution
MacOS: package is available
Required data sets:
https://neteler.gitlab.io/grass-gis-analysis/#course-data-download
Видео Markus Neteler: Introduction to GRASS GIS канала Tomislav Hengl (OpenGeoHub Foundation)
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16 октября 2019 г. 15:26:06
02:01:59
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