get_traindata | R Documentation |
Extracts training data from a raster stack and returns a dataframe containing for each pixel all values.
get_traindata(rasterStack = NULL, trainPlots = NULL)
rasterStack |
an object of rasterstack*. containing image data to make prediction on |
trainPlots |
an object of SpatialPolygonDataFrame*. providing the training areas |
data frame with either the raster stack of all trainingn data and/or the data frame containing the training data vlaues of given training areas
Chris Reudenbach
## Not run: ##- required packages require(uavRst) setwd(tempdir()) ##- get the tutorial data utils::download.file("https://github.com/gisma/gismaData/raw/master/uavRst/data/tutorial_data.zip", "tutorial_data.zip") unzip("tutorial_data.zip",exdir = ".") ##- get the files imageTrainStack <- list() geomTrainStack <- list() imageTrainFiles <- Sys.glob("rgb??.tif") geomTrainFiles <- Sys.glob("rgb??.shp") ##- create stacks from image and geometry files imageTrainStack<-lapply(imageTrainFiles, FUN=raster::stack) geomTrainStack <- lapply(geomTrainFiles, FUN=raster::shapefile) names(imageTrainStack[[1]])<-c("red","green","blue") names(imageTrainStack[[2]])<-c("red","green","blue") names(imageTrainStack[[3]])<-c("red","green","blue") ##' finally extraxt the training data to a data frame trainDF <- get_traindata(rasterStack = imageTrainStack, trainPlots = geomTrainStack) ##- have a look at the training data head(trainDF) ## End(Not run)
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