Package website: release | dev
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
Linux and WindowsX operating systems but
nevertheless it should also work with OSX.
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 OTB, the GDAL-Python functions and
a simple support to use any SAGA version via the CLI.
Hopefully RSAGA and 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 linkSAGA.
link2GIis up to CRAN. For the installation of the stable
version please use install.packages("link2GI").
To install the latest stable version use:
r # devtools package devtools::install_github("r-spatial/link2GI", ref = "master") # remotes package remotes::install_github("r-spatial/link2GI",ref = "master")
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 .
the OTB wrapper is updated for a more convinient usage. Please have a look at the usecase below:
## 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 (see https://opengeohub.org) in Prague some more complex usescases have been presented.