hotMove: hotMove

In RRemelgado/rsMove: Guidelines for the use of Remote Sensing in Movement Ecology

Description

Detection of geographic regions of samples using a pixel based approach.

Usage

hotMove(x, y, return.shp = FALSE)

Arguments

x	Object of class SpatialPoints of SpatialPointsDataFrame.
y	Grid resolution. Unit depends on x projection.
return.shp	Logical. Should the function return polygons of the regions? Default is FALSE.

Details

First, the function builds a raster with a resolution equal to y and the spatial extent of x. Then, each point in x is converted into pixel coordinates. Based on the unique pixel coordinates, the function then evaluates the spatial connectivity of these pixels using a 8-neighbor connected component labeling algorithm to detect regions. Finally, the ID's are related back to each individual data point in x based on their pixel coordinates and - if return.shp is TRUE - a polygon is derived from the convex hull of the points within each region. The output of the function consists of:

• region.id - Vector reporting on the region each element in x belongs to.

• polygons - Polygons for each unique region in region.id specified by the data column region.

• plot - A plot with the output of polygons accessible if return.shp is TRUE.

Value

A List containing a vector of region ID's per data point ($indices) and region polygons ($polygons).

See Also

sampleMove hotMoveStats

Examples

{

require(raster)

# reference data
data(longMove)

# extract regions
hm <- hotMove(longMove, 0.1)

}

RRemelgado/rsMove documentation built on June 7, 2020, 5:12 p.m.