reduce.env: Reduce environmental data

In patauchi/sdStaf: Species Distribution and Stability Future Models

Description

This function allows reduce environmental data clipping by mask or buffer area

Usage

reduce.env(env, transfer = NULL, var.rm, mask)

Arguments

env	RasterStack* objet.
transfer	List of RasterStack object
var.rm	A data.frame of occurrence records. It must include two column based on latitude and longitude.
mask	Cropped mask, must be shapefile (.shp), readOGR.

Details

Reduce the correlation among predicted variables either buffer zone, or clipping mask.

Provide reduce objet with cut predicted variables and data.frame for the values of each point of occurrence of them.

Value

@crop RasterStack* Objet

@m.env data.frame of environmental values to occurrence localities.

See Also

cor.show

Examples

# Phytotoma ocurrence data
data(phytotoma)


# Complement
library(dismo)
predictor <- stack(list.files(path=paste(system.file(package="dismo"),'/ex', sep=''),
 pattern='grd', full.names=TRUE ))

 maskM <- stim.M(phytotoma[,2:3], 131)

vrn <- extract(predictor, phytotoma[,2:3])

# Correlogram s
rd <- c('bio1','bio12','biome')
cor.show(vrn, remove=TRUE, var.rm=rd)

patauchi/sdStaf documentation built on May 10, 2020, 9:34 a.m.