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Preprocessing temporally explicit data 3 days ago
Summary | Overview | Aligning rasters | Spatiotemporal rarefaction | Temporally explicit extraction | Scaling rasters | Spatiotemporal partitioning | Generating pseudoabsences | Buffer method | User data method | Outputs ready for modeling
About the Example Dataset 10 days ago
Summary | Description | Overview | Landscape rasters | Elevation | Forest cover and annual precipitation across years | Seasonal precipitation within a year | Occurrence data | Pre-computed objects and other bundled files | Pre-computed data() objects | Intermediate raster and point files
3b. Modeling with a GAM24 days ago
Summary | Theory | Overview | Fitting a temporal GAM | Smooth term syntax | Threshold selection | E-space performance | Projecting predictions | G-space performance | Next steps
3a. Modeling with a GLM24 days ago
Summary | Theory | Overview | Fitting a temporal GLM | Formula syntax | Threshold selection | E-space performance | Projecting predictions | G-space performance | Next steps
3d. Modeling with a Hypervolume24 days ago
Summary | Theory | Overview | Fitting a temporal hypervolume | Choosing a method | Tuning hypervolume parameters | E-space performance | Projecting predictions | G-space performance | Next steps
3c. Modeling with a Random Forest24 days ago
Summary | Theory | Overview | Fitting a temporal random forest | Threshold selection | Variable importance | E-space performance | Projecting predictions | G-space performance | Next steps
Post-processing predictions 1 months ago
Summary | Overview | Consensus and frequency summarization | Detecting temporal patterns | Aggregating by spatial unit | Summary