Function reference • smpds

All functions
`APD`	`APD` dataset
`CMPD`	`CMPD` dataset
`CRU_coords`	`CRU_coords` dataset
`EMBSeCBIO`	`EMBSeCBIO` dataset
`EMPDv2`	`EMPDv2` dataset
`Herzschuh`	`Herzschuh` dataset
`IbMPD`	`IbMPD` dataset
`NEOTOMA`	`NEOTOMA` dataset
`PNV`	`PNV` dataset
`Phelps`	`Phelps` dataset
`SMPDSv1`	`SMPDSv1` dataset
`SMPDSv2`	`SMPDSv2` dataset
`amalgamate_taxa()`	Taxa amalgamation
`australia_pollen`	`australia_pollen` dataset
`biome_name()`	Biome names
`clean_taxa()`	Taxa clean-ups
`climate`	`climate`
`compare_latlon()`	Compare two datasets using `latitude` and `longitude`
`compare_latlonelv()`	Compare two datasets using `latitude`, `longitude`, and `elevation`
`entity`	`entity`
`extract_biome()` `parallel_extract_biome()`	Extract biome
`gdd()`	Calculate GDD
`gwr()`	Geographically Weighted Regression
`japanese_pollen`	`japanese_pollen` dataset
`mat()`	Calculate MAT
`mi()`	Calculate MI
`mtco()`	Calculate MTCO
`mtwa()`	Calculate MTWA
`normalise_taxa()`	Normalise taxa/columns counts
`pb()`	Show progress bar
`pivot_data()`	Pivot data
`plot_biome()`	Plot biomes/entities
`plot_climate()` `plot_climate_countour()` `plot_climate_tiles()` `plot_gdd()` `plot_mat()` `plot_mi()` `plot_mtco()` `plot_mtwa()`	Plot climate variable
`pnv_classes()`	PNV classes
`pollen_count`	`pollen_count`
`print(<snapshot>)`	Print Values
`rm_na_taxa()`	Remove missing taxa/columns
`rm_zero_taxa()`	Remove taxa/columns with zeros
`snapshot()`	Create a snapshot of the data linked to entities
`sort_taxa()`	Sort taxa/columns alphabetically
`taxon_name`	`taxon_name`
`total_taxa()`	Add the taxa/columns counts by entity/row
`tps()`	Thin plate spline regression
`write_csvs()`	Write DB snapshot to disk Write DB snapshot to disk as individual CSV files.

Reference

All functions