sampleIndicator | R Documentation |
This function divides into fixed-size grids each of the scenes of
a stack of ecosystem-spatial data and samples a biodiversity
indicator by every grid. To compute biodiversity indicators at the
class and landscape levels, see gaugeIndicator
sampleIndicator(ps = NULL, ..., metric = "condent", classes = 5, min = 1, max = 100, side, smp_lsm = list(level = "landscape"), mc.cores = round(detectCores() * 0.6, 0))
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Class echanges
Wilson Lara Henao <wilarhen@gmail.com> [aut, cre], Victor Gutierrez-Velez [aut], Ivan Gonzalez [ctb], Maria C. Londono [ctb]
Hesselbarth, M. H., Sciaini, M., With, K. A., Wiegand, K., & Nowosad, J. (2019). landscapemetrics: an open source R tool to calculate landscape metrics. Ecography, 42(10), 1648-1657.
O'Connor, B., Secades, C., Penner, J., Sonnenschein, R., Skidmore, A., Burgess, N. D., & Hutton, J. M. (2015). Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets. Remote sensing in ecology and conservation, 1(1), 19-28.
Skidmore, A. K., & Pettorelli, N. (2015). Agree on biodiversity metrics to track from space: Ecologists and space agencies must forge a global monitoring strategy. Nature, 523(7561), 403-406.
## RasterBrick of structural Essential Biodiversity Variables ## covering the extent of a location in the northern Amazon basin ## (Colombia) is imported: path. <- system.file('amazon.grd',package = 'ecochange') amazon <- brick(path.) ## Changes in layers of tree-canopy cover (TC) in the 'amazon' ## brick are computed: def <- echanges(amazon, eco = 'TC', change = 'lossyear', eco_range = c(1,80), get_unaffected = TRUE, binary_output = FALSE, mc.cores = 2) plot.echanges(amazon) ## Function 'sampleIndicator' is implemented to sample a metric of ## conditional entropy (default): def_condent <- sampleIndicator(def, side = 400, mc.cores = 2) plot.echanges(def_condent, cex = 1.5)
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