landscapemetrics (version 1.4.4)

lsm_l_rpr: RPD (landscape level)

Description

Relative patch richness (Diversity metric)

Usage

lsm_l_rpr(landscape, classes_max, verbose)

# S3 method for RasterLayer lsm_l_rpr(landscape, classes_max = NULL, verbose = TRUE)

# S3 method for RasterStack lsm_l_rpr(landscape, classes_max = NULL, verbose = TRUE)

# S3 method for RasterBrick lsm_l_rpr(landscape, classes_max = NULL, verbose = TRUE)

# S3 method for stars lsm_l_rpr(landscape, classes_max = NULL, verbose = TRUE)

# S3 method for list lsm_l_rpr(landscape, classes_max = NULL, verbose = TRUE)

Arguments

landscape

Raster* Layer, Stack, Brick or a list of rasterLayers.

classes_max

Potential maximum number of present classes

verbose

Print warning message if not sufficient patches are present

Value

tibble

Details

$$RPR = \frac{m} {m_{max}} * 100$$ where \(m\) is the number of classes and \(m_{max}\) is the (theoretical) maximum number of classes.

RPR is an 'Diversity metric'. The metric calculates the percentage of present classes in the landscape in relation to a (theoretical) number of maximum classes. The user has to specify the maximum number of classes. Note, that if classes_max is not provided, the functions returns NA.

Units

Percentage

Ranges

0 < RPR <= 100

Behaviour

Approaches RPR > 0 when only one class type is present, but the maximum number of classes is large. Equals RPR = 100 when m = m_max

References

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

Romme, W. H. 1982. Fire and landscapediversity in subalpine forests of Yellowstone National Park.Ecol.Monogr. 52:199-221

Examples

Run this code
# NOT RUN {
lsm_l_rpr(landscape, classes_max = 5)

# }

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