-
Notifications
You must be signed in to change notification settings - Fork 0
jamaas/grass_topmodel_r
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
Last revised 21/11/2016 by JAM at UEA doi = {10.5281/zenodo.61376} This is a working group of files that was developed by Dr. Jim Maas at the University of East Anglia to tackle a specific problem. We needed select and use a hydrological model, of which there are many to choose from, to predict overland and subsurface water movement on six specific small areas of land, in the United Kingdom. Logically these water flows would be dependent on the topography of the area, the soil type, and also the precipitation. After a review of the many combinations that are currently available, as of August 2016, we settled on the combination of Geographic Resources Analysis Support System (GRASS) GIS system, combined with a hydrolgical model called Topmodel and then did data manipulation and statistical analysis using the R programme. Each of these programmes are open-source and thus freely available. In this project we have opted to use the Linux operating system, however each of these programmes are available for others. The working example here draws very heavily on an example that was publicly posted previously by Huidae Cho, who also wrote the GRASS module that performs Topmodel functions specifically. The website is located at "https://idea.isnew.info/r.topmodel.html". The script was then modified and updated by Dr. Roy Sanderson at the University of Newcastle, UK whereupon I took over and made a few adjustments to tie it all together. This software comes with no guarantees whatsoever however I can be contacted with questions at [email protected].
About
Combination of open source methods/technologies including GRASS, Topmodel and R
Resources
Stars
Watchers
Forks
Packages 0
No packages published