Standard deviation radius of gyration (Area and edge metric)
lsm_c_gyrate_sd(landscape, directions)# S3 method for RasterLayer
lsm_c_gyrate_sd(landscape, directions = 8)
# S3 method for RasterStack
lsm_c_gyrate_sd(landscape, directions = 8)
# S3 method for RasterBrick
lsm_c_gyrate_sd(landscape, directions = 8)
# S3 method for stars
lsm_c_gyrate_sd(landscape, directions = 8)
# S3 method for list
lsm_c_gyrate_sd(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
$$GYRATE_{SD} = sd(GYRATE[patch_{ij}])$$ where \(GYRATE[patch_{ij}]\) equals the radius of gyration of each patch.
GYRATE_SD is an 'Area and edge metric'. The metric summarises each class as the standard deviation of the radius of gyration of all patches belonging to class i. GYRATE measures the distance from each cell to the patch centroid and is based on cell center-to-cell center distances. The metrics characterises both the patch area and compactness.
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
Keitt, T. H., Urban, D. L., & Milne, B. T. 1997. Detecting critical scales in fragmented landscapes. Conservation ecology, 1(1).
lsm_p_gyrate
,
cv
,
lsm_c_gyrate_mn
,
lsm_c_gyrate_cv
,
lsm_l_gyrate_mn
,
lsm_l_gyrate_sd
,
lsm_l_gyrate_cv
# NOT RUN {
lsm_c_gyrate_sd(landscape)
# }
Run the code above in your browser using DataLab