link2GI provide some functions which make it a bit easier to connect straightforward the common open source GI software packages to the R-biotop. It supports both the use of wrapper packages and the direct API-use via system calls. It focuses on
WindowsX operating systems but nevertheless it should also work with
If you have several versions installed or if you want to use the full power of the GI software it will be a nice and helpful tool to deal with some strange behaviours and requirements. Especially helpful is the support of
GDAL-Python functions and a simple support to use any
SAGA version via the CLI. Hopefully
Rsagacmd will join forces in one package in the future. Anyway the brand new release 1.2.0 of
RSAGA as well as the current
Rsagacmd will work with the environment settings as provided by
link2GIis up to CRAN. For the installation of the stable version please use
To install the latest stable version use: ```r
devtools::install_github("r-spatial/link2GI", ref = "master")
remotes::install_github("r-spatial/link2GI",ref = "master")
## Third Party software To utilize the power of the open source GI tools from within `R` you need to install them first. As a first promising opportunity to do fulfill most of the requirements you may install `QGIS, GRASS`- and `SAGA-GIS` . # Documentation ### Updated OTB wrapper the OTB wrapper is updated for a more convinient usage. Please have a look at the usecase below: ```r ## link to OTB require(link2GI) require(raster) require(listviewer) otblink<-link2GI::linkOTB() projRootDir<-tempdir() data('rgb', package = 'link2GI') raster::plotRGB(rgb) r<-raster::writeRaster(rgb, filename=file.path(projRootDir,"test.tif"), format="GTiff", overwrite=TRUE) ## for the example we use the edge detection, algoKeyword<- "EdgeExtraction" ## extract the command list for the choosen algorithm cmd<-parseOTBFunction(algo = algoKeyword, gili = otblink) ## get help using the convenient listviewer listviewer::jsonedit(cmd$help) ## define the mandantory arguments all other will be default cmd$input <- file.path(projRootDir,"test.tif") cmd$filter <- "touzi" cmd$channel <- 2 cmd$out <- file.path(projRootDir,paste0("out",cmd$filter,".tif")) ## run algorithm retStack<-runOTB(cmd,gili = otblink) ## plot filter raster on the green channel plot(retStack)
During the GEOSTAT 2018 in Prague some more complex usescases have been presented.
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