R: Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution

# Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution

## Documentation for package ‘dynamicSDM’ version 1.3.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

brt_fit | Fit boosted regression tree models to species distribution or abundance data.
convert_gbif | Reformats GBIF data into 'dynamicSDM' data frame
dynamic_proj | Project species distribution and abundance models onto dynamic environmental covariates.
dynamic_proj_covariates | Combine explanatory variable rasters into covariates for each projection date.
dynamic_proj_dates | Generate vector of dates for dynamic projections
dynamic_proj_GIF | Create GIF of dynamic species distribution and abundance projections
extract_buffered_coords | Extract spatially buffered and temporally dynamic explanatory variable data for occurrence records.
extract_buffered_raster | Extract spatially buffered and temporally dynamic rasters of explanatory variable data.
extract_coords_combine | Combine extracted explanatory variable data for occurrence records into single data frame.
extract_dynamic_coords | Extract temporally dynamic explanatory variable data for occurrence records.
extract_dynamic_raster | Extract temporally dynamic rasters of explanatory variables.
extract_static_coords | Extract explanatory variables from static rasters
get_moving_window | Generate a “moving window” matrix of optimal size
sample_cov_data | Sample projection covariates three variables across for southern Africa.
sample_events_data | Sample e-Bird sampling event records
sample_explan_data | Sample species occurrence records with associated dynamic explanatory variables
sample_extent_data | MULTIPOLYGON object for the extent of southern Africa
sample_filt_data | Sample of filtered species occurrence records
sample_occ_data | Sample species occurrence records
spatiotemp_autocorr | Test for spatial and temporal autocorrelation in species distribution model explanatory data.
spatiotemp_bias | Test for spatial and temporal bias in species occurrence records
spatiotemp_block | Split occurrence records into spatial and temporal blocks for model fitting.
spatiotemp_check | Check species occurrence record formatting, completeness and validity.
spatiotemp_extent | Filter species occurrence records by a given spatial and temporal extent.
spatiotemp_pseudoabs | Generate pseudo-absence record coordinates and dates
spatiotemp_resolution | Filter species occurrence records by given spatial and temporal resolution
spatiotemp_thin | Thin species occurrence records by spatial and temporal proximity.
spatiotemp_weights | Calculate sampling effort across spatial and temporal buffer from species occurrence records