Data and R code for running IFM simulations
datasetposted on 25.11.2019 by Sarah Scriven, Kimberly Carlson, Jenny Hodgson, Colin McClean, Robert Heilmayr, Jennifer Lucey, Jane Hill
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Zip folder containing raw data and R code for running Incidence Function Model (IFM) simulations. The 'LoopedIFM_SetupScript.R' script runs the IFM simulations in a loop for the 70 New Planting Procedure (NPP) plantation landscapes. Model parameters (e.g., dispersal distance and population density) can be changed in this script. The set-up script also loads the raw data (raster) files ('FinalRaster70NPPsBuffer.tif' and 'FinalRaster70NPPsCurrentBuffer.tif'), which are converted into a dataframe before the IFM simulations are run. The set-up script calls three functions: the 'IFM2_Function.R' script, which is the IFM simulation code, as well as two 'Cardinal Points function' scripts ('CardinalPoints_WithHCVFunctionParallel.R' and 'CardinalPoints_WithNoHCVFunctionParallel.R'), which set up the modeled landscapes over which to run the simulations. Finally, the 'NPP70Centroids.csv' file is required to run the loop and provides NPP plantation IDs and X/Y coordinates of each plantation centroid.