The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The goal of cdlsim is to simulate USDA CDL data to quantify the sensitivity of metrics calculated on it. The R package landscapemetrics is used to implement popular FRAGSTATS style metrics in R.
The stable release of cdlsim will be available from CRAN soon:
install.packages("cdlsim")Until then, you can install the development version of cdlsim from GitHub with:
# install.packages("devtools")
devtools::install_github("burgerhaley97/cdlsim")This is a basic example which shows how a simple landscape would behave in our simulation:
library(cdlsim)
r <- rast(nrows = 20, ncols = 20) values(r) <- rep(1:3, length.out = ncell(r))
trans_mat <- matrix(1/3, nrow = 3, ncol = 3) rownames(trans_mat) <- colnames(trans_mat) <- c(“1”, “2”, “3”)
simulate_raster_patch(r, trans_mat, iterations = 1)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.