LatSSC: Get spatial sampling coverage

In LewisAJones/LBGSim: Latitudinal biodiversity gradient simulator

Description

Get spatial sampling coverage

Usage

LatSSC(data, id, bandsize, mask = NULL, write = FALSE, name = "simulation")

Arguments

data	Dataframe (colnames:x,y). A dataframe of the sampling window/occurrences (x,y).
id	Vector. A vector of sampling IDs (e.g. collection numbers)
bandsize	Integer. Size of latitudinal bins/bands desired for analyses. If set to 180, global spatial sampling coverage will be computed.
res	Numeric. Value used to convert sampling points to raster. The value of res indicates the resolution of the raster generated. A higher value generates more generous sampling, while lower represents more conservative sampling. If used in conjunction with LBGSim(), res should equal the same as used by LBGtype().

Value

A dataframe of the spatial sampling coverage within latitudinal bands

LewisAJones/LBGSim documentation built on March 28, 2020, 12:03 a.m.