https://github.com/PredictiveEcology/LandR

speciesList matrix has been "deprecated". a sppNameVector, table of correspondences and pemisc::equivalentName are now used to convert species names. Please see pemisc::loadKnnSpeciesLayers for examples

As per PredictiveEcology/actions#1

with #1

use consistent column names in sppEquivalencies_CA:

1. I'm OK with colnames being Snake_Case instead of camelCase;
2. do we need 'names' in the colname? why not simply use e.g., LANDIS_test?
3. shortENGeneric and full.ENGeneric should be consistent: e.g., EN_generic_short

I propose the following:

• LANDIStest_names ==> LANDIS_test
• LANDIStraits_names ==> LANDIS_traits
• LandR_names ==> LandR
• KNN_names ==> kNN
• CASFRI_names ==> CASFRI
• fullLatin ==> Latin_full
• shortENGeneric ==> EN_Generic_short
• full.ENGeneric ==> EN_Generic_full
• leadingNames ==> Leading
• Notes (as is)

with PredictiveEcology/Biomass_speciesData#8 and PredictiveEcology/Biomass_core#21

Currently implemented in 29f302c but one module was using the following:

canadaMap <- Cache(getData, 'GADM', country = 'CAN', level = 1, path = asPath(dPath),
                       cacheRepo = getPaths()$cachePath, quick = FALSE)
    smallPolygonCoords = list(
      coords = data.frame(x = c(-115.9022, -114.9815, -114.3677, -113.4470, -113.5084,
                                -114.4291, -115.3498, -116.4547, -117.1298, -117.3140),
                          y = c(50.45516, 50.45516, 50.51654, 50.51654, 51.62139,
                                52.72624, 52.54210, 52.48072, 52.11243, 51.25310))
    )

    sim$studyArea <- SpatialPolygons(list(Polygons(list(Polygon(smallPolygonCoords$coords)), ID = "swAB_polygon")),
                                              proj4string = crs(canadaMap))

@eliotmcintire @CeresBarros @ianmseddy which version should we use by default?

see https://parallelly.futureverse.org/