raster_datasets: Raster data set of environmental and social covariates...

In skiptoniam/qrbp: Quasirandom quardature scheme using dirichlet tesselation for spatial Poisson point process models

Raster data set of environmental and social covariates clipped to Tasmania

Description

Raster data set of environmental and social covariates clipped to Tasmania

Details

The a subset of the ANUCLIM v6 layers are included in the package, but have been clipped to the Tasmanian extent. A distance from roads layer is also included which is calculated as the distance from main roads, based on the road network dataset from OpenStreetMap (OSM) across the geographic area of Tasmania

• precip_of_driest_month.tif Precipitation of the driest month

• min_temp_coldest_month.tif Minimum temperature of the coldest month

• max_temp_coldest_month.tif Maximum temperature of the warmest month

• annual_mean_temp.tif Annual mean temperature

• annual_mean_precip.tif Annual mean precipitation

• distance_from_main_roads.tif Distance from main roads

References

Xu, Tingbao, and Michael Hutchinson. "ANUCLIM version 6.1 user guide." The Australian National University, Fenner School of Environment and Society, Canberra 90 (2011).

OpenStreetMap, (2020): OpenStreetMap - Road Network (Australia) 2020; accessed from AURIN.

Examples

## Not run: 
## This is how you would load these data
path <- system.file("extdata", package = "ppmData")
lst <- list.files(path=path,pattern='*.tif',full.names = TRUE)
covariates <- rast(lst)

## End(Not run)

skiptoniam/qrbp documentation built on May 13, 2023, 2:08 a.m.