hands-on tutorial for using link2GI
During the GEOSTAT 2018 in Prague some more complex usescases have been presented.
Presentationslides Github Repository github repository.
Please check the R dependencies:
install.packages(c("sf", "raster", "rgdal", "tools", "rgrass7", "sp", "RSAGA", "link2GI"))
# for the Canopy height model usecase you need to install uavRst
devtools::install_github("r-spatial/uavRst", ref = "master")
In addition you need at least one installation of the following GIS software.
- For
GRASS- andSAGA-GISfollow the RQGIS installation instructions as provided by Jannes Muenchow. For standalone GRASS you may have a look at the the geostat2018 instructions as provided by Veronica Andreos. - For installing the
Orfeo Toolbox, please follow the OTB cookbook installation instructions.
Please download the data and scripts for the exercises.
PLEASE NOTE:
If you run the following code you will create the folder link2gi-master in your home folder. During the tutorial it is assumed to be the root folder.
url <- "https://github.com/gisma/link2gi2018/archive/master.zip"
res <- curl::curl_download(url, paste0(tmpDir(),"master.zip"))
utils::unzip(zipfile = res, exdir = "~")-
Basic usage of SAGA and OTB calls - SAGA & OTB basic usecase
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Wrapping a GRASS GIS example of Markus Neteler as presented on GEOSTAT 2018 - Analysing the ECA&D climatic data - reloaded
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Performing a GRASS based cost analysis on a huge cost raster - Beetle spread over high asia
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Deriving a canopy height model using a mixed API approach - Canopy Height Model from UAV derived point clouds