Prince Edward Island (Canada) Predictive Soil Mapping data set. Training points include: soil organic matter (624 points): unit: percent, g/100g ) samples from the topsoil (0-23 cm depth), soil types (672 points), Covariate layers include: DEM derivatives (Channel_Network_Base_Level.tif, MRRTF.tif, Relative_Slope_Position.tif, Slope.tif, TWI.tif, Valley_Depth.tif, Vertical_Distance_To_Channel_Network.tif), landcover_2016_reclassify.tif (categorical values), DSS_soil_polygons.tif (soil polygons), Some covariates are type numeric, some type factor. To use the pre-processed data download only the RDS file. E.g. "PEI100m.soil.rds" contains all covariates layers resampled to 100 m resolution and all training points.

{"references": ["Nyiraneza, J., Thompson, B., Geng, X., He, J., Jiang, Y., Fillmore, S., & Stiles, K. (2017). Changes in soil organic matter over 18 yr in Prince Edward Island, Canada. Canadian journal of soil science, 97(4), 745-756."]}