Based on two continuous environmental variables, it defines a bi-dimensional environmental space.

define_env_space(env, buffer.size, plot = TRUE)

env | matrix or data frame with two columns containing two environmental variables. The variables must be numeric, even for data frames. |
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buffer.size | numeric value indicating a buffer size around each point which will delimit the environmental geographical border for the occurrence point. See details. |

plot | logical. whether to plot the polygon. Default is TRUE. |

An object of sfc_POLYGON class

The environmental variables are standardized by range, which turns
the range of each environmental variable from 0 to 1. Then, it is delimited
a buffer of size equal to `buffer.size`

around each point in this
space and a polygon is draw to link these buffers. The function returns the
polygon needed to link all points, and the area of the polygon indicates
the environmental space based in the variables used.

library("raster") # load climate data data("r.temp.prec") env.data <- raster::as.data.frame(r.temp.prec) define_env_space(env.data, 0.05)#> Geometry set for 1 feature #> Geometry type: POLYGON #> Dimension: XY #> Bounding box: xmin: 0 ymin: 0 xmax: 1 ymax: 1 #> CRS: NA#>