View source: R/convert.lu.ecors.R
convert.lu.ecors | R Documentation |
Re-assign land use classes by converting pixel values.
convert.lu.ecors(x, old.value, new.value, new.lu.class, new.color = NULL)
x |
lu.ecors object (from get.lu.ecors). |
old.value |
vector of original pixel values wich will be replaced. |
new.value |
vector of pixel values that will replace the original values. |
new.lu.class |
land use class names that will replace the originals (optional). |
new.color |
colors used in plots that will replace the originals (optional). |
Google Earth Engine container object lu.conv are exported to .GlobalEnv to be used in rgee functions and avoid errors (elapsed time limit). Object with metadata is returned.
#Get a lu.ecors class object FAL.IBGE.JBB<-sf::st_read(system.file("extdata/FAL.IBGE.JBB.gpkg", package="ecors")) test.points<-sf::st_read(system.file("extdata/Points_tests.gpkg", package="ecors")) test.plots<-sf::st_read(system.file("extdata/Plots_tests.gpkg", package="ecors")) # Get data (projecting to UTM 32S zone to performe buffer operations) lu2000_2010<-get.lu.ecors(site=FAL.IBGE.JBB, points=test.points, plots=test.plots, polygons=NULL, id.column=1, projected=F, custom.crs=32723, collection.lu="mapbiomas6", years=c(2000,2010), resolution=30, evaluate="surroundings.site", buffer1=5000, buffer2=10000, buffer3=NULL, cumulative.surroundings=F) # Grouping several native land use classes converted<-convert.lu.ecors(x=lu2000_2010,old.value = c(1,3,4,10,11,12,13), new.value = rep(1,times=7), new.lu.class = rep("Native",times=7)) #Plotting plot(x=converted, comp=lu2000_2010)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.