spatialMatch: Comparing prediction-observation ratio at different zones of...

In Xinhai-Li/abundanceR: Estimate wildlife abundance based on distance sampling and species distribution models

Comparing prediction-observation ratio at different zones of the whole area

Description

Calculating the uncertainty of prediction-observation rate

Usage

spatialMatch(species, buffer, tracks, pop.pred, grid = 4)

Arguments

species	A data.frame of species occurrences with columns "Name_E", "Lon", "Lat", "Date", "Count"
buffer	A value of distance (unit: degree) defining the width of buffer zone outside the occurrences
tracks	A dataframe containing the Lat/Lon of thinned track points.
pop.pred	A raster layer with number of individuals at each cell
grid	A value defining the number of grids (grid^2) for prediction-observation comparison

Value

The standard deviation of the observation/prediction ratios at all panels of the whole area

Author(s)

Xinhai Li ([e-mail])

Examples

 sd.Match = spatialMatch(species, buffer, tracks, pop.pred, 6); sd.Match

Xinhai-Li/abundanceR documentation built on Feb. 1, 2024, 4:47 a.m.