The model was created with the Graphical Model Builder in QGIS 3.16/3.22 and it allows to calculate the home range for a given percentage through the Minimum Convex Polygon (MCP).
- A vector containing the points in a projected Reference System (i.e. UTM).
- A field containing unique id values.
- Percent: a single number for the MCP calculation.
The model uses QGIS algorithms and works only for QGIS 3.16 (and later versions).
In order to use the model, download the model Home Range MCP.model3 first, then open QGIS, go to the Processing options, and select Open an existing model... Navigate to the folder containing the model and DONE!
The data used in this example derives from the adehabitatHR R package and it contains the relocations of one female brown bear monitored using GPS collars during May 2004 in Sweden.
Simply launch the Home Range MCP QGIS model. The input poiny layer must have an unique id field containing unique values.
To test the validity of the model, I used the mcp function of the adehabitatHR R package with the same dataset.
library(adehabitatHR)
library(rgdal)
data(bear)
xy <- SpatialPoints(na.omit(ld(bear)[,1:2]))
mcp <- mcp(xy, percent=95)
plot(mcp)
plot(xy, add=TRUE)
Then I exported the mcp polygon from R to QGIS.
writeOGR(mcp, dsn = "I:\\", layer = "mcp_95_R", driver="ESRI Shapefile")