lsm_l_rpr: RPD (landscape level)

Description Usage Arguments Details Value References Examples

Description

Relative patch richness (Diversity metric)

Usage

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lsm_l_rpr(landscape, classes_max, verbose)

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

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

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

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

## S3 method for class '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

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

Value

tibble

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

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lsm_l_rpr(landscape, classes_max = 5)

r-spatialecology/landscapemetrics documentation built on May 20, 2019, noon