Nothing
```{asis, echo = {{penvs_bgExtent_knit}}, eval = {{penvs_bgExtent_knit}}, include = {{penvs_bgExtent_knit}}}
Sampling of {{bgPtsNum_rmd}} background points and corresponding environmental data using a "{{bgSel_rmd}}" method with a {{bgBuf_rmd}} degree buffer.
```r}, include = {{penvs_bgExtent_knit}}} # Generate background extent bgExt_{{spAbr}} <- penvs_bgExtent( occs = occs_{{spAbr}}, bgSel = "{{bgSel_rmd}}", bgBuf = {{bgBuf_rmd}}) # Mask environmental data to provided extent bgMask_{{spAbr}} <- penvs_bgMask( occs = occs_{{spAbr}}, envs = envs_{{spAbr}}, bgExt = bgExt_{{spAbr}}) # Sample background points from the provided area bgSample_{{spAbr}} <- penvs_bgSample( occs = occs_{{spAbr}}, bgMask = bgMask_{{spAbr}}, bgPtsNum = {{bgPtsNum_rmd}}) # Extract values of environmental layers for each background point bgEnvsVals_{{spAbr}} <- as.data.frame(raster::extract(bgMask_{{spAbr}}, bgSample_{{spAbr}})) ##Add extracted values to background points table bgEnvsVals_{{spAbr}} <- cbind(scientific_name = paste0("bg_", "{{spName}}"), bgSample_{{spAbr}}, occID = NA, year = NA, institution_code = NA, country = NA, state_province = NA, locality = NA, elevation = NA, record_type = NA, bgEnvsVals_{{spAbr}})
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