Piecewise Smoothing landscape rasters for a study area in Alberta, Canada

The forest class (vegTypesRas_AB_BCR6_2011) and age (ageRas_AB_BCR6_2011) rasters were derived from publicly-available national-extent datasets of Canadian boreal tree species biomass and stand age for 2011 (Beaudoin et al., 2017). We input, processed and calibrated these rasters in R (version 4.4.1; R Core Team. 2024), using a set of SpaDES modules (SpaDES: Spatially Discrete Event System; Chubaty and McIntire, 2021) following Barros et al. (2023). We derived the land-cover raster (landCoverRas_AB_BCR6_2010) from the publicly-available 2010 land cover of Canada (LCC10; Latifovic et al., 2017). Barros, C., Luo, Y., Chubaty, A. M., Eddy, I. M. S., Micheletti, T., Boisvenue, C., Andison, D. W., Cumming, S. G., & McIntire, E. J. B. (2023). Empowering ecological modellers with a PERFICT workflow: Seamlessly linking data, parameterisation, prediction, validation and visualisation. Methods in Ecology and Evolution, 14(1), 173–188. https://doi.org/10.1111/2041-210X.14034 Beaudoin, A., Bernier, P. Y., Villemaire, P., Guindon, L., & Guo, X. J. (2017). Species composition, forest properties and land cover types across Canada’s forests at 250m resolution for 2001 and 2011 [Dataset]. Chubaty, A., & McIntire, E. (2024). SpaDES: Develop and Run Spatially Explicit Discrete Event Simulation Models (R package version 2.0.11.9000) [Computer software]. https://github.com/PredictiveEcology/SpaDES Latifovic, R., Pouliot, D., & Olthof, I. (2017). Circa 2010 Land Cover of Canada: Local Optimization Methodology and Product Development. Remote Sensing, 9(11), 1098. https://doi.org/10.3390/rs9111098 R Core Team. (2024). R: A Language and Environment for Statistical Computing (Version 4.4.1) [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/