Coefficient of variation of patch area (Area and edge metric)
lsm_c_area_cv(landscape, directions)# S3 method for RasterLayer
lsm_c_area_cv(landscape, directions = 8)
# S3 method for RasterStack
lsm_c_area_cv(landscape, directions = 8)
# S3 method for RasterBrick
lsm_c_area_cv(landscape, directions = 8)
# S3 method for stars
lsm_c_area_cv(landscape, directions = 8)
# S3 method for list
lsm_c_area_cv(landscape, directions = 8)
Raster* Layer, Stack, Brick or a list of rasterLayers
The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
tibble
$$AREA_{CV} = cv(AREA[patch_{ij}])$$ where \(AREA[patch_{ij}]\) is the area of each patch in hectares.
AREA_CV is an 'Area and Edge metric'. The metric summarises each class as the Coefficient of variation of all patch areas belonging to class i. The metric describes the differences among patches of the same class i in the landscape and is easily comparable because it is scaled to the mean.
McGarigal, K., SA Cushman, and E Ene. 2012. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site: http://www.umass.edu/landeco/research/fragstats/fragstats.html
lsm_p_area
,
cv
,
lsm_c_area_mn
,
lsm_c_area_sd
,
lsm_l_area_mn
,
lsm_l_area_sd
,
lsm_l_area_cv
# NOT RUN {
lsm_c_area_cv(landscape)
# }
Run the code above in your browser using DataCamp Workspace