rsp2ebv | R Documentation |
This function integrates ecosystem remote sensing products and produces raster-data sections with the cell values enclosed in a region of interest.
rsp2ebv(ps = NULL, ..., lyrs = NULL, path, sr, ofr = c(30, 30), mc.cores = round(detectCores() * 0.6, 0))
ps |
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... |
Additional arguments in |
lyrs |
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path |
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sr |
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ofr |
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mc.cores |
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This function implements
'sf::gdal_utils'
so it assumes the
user's machine has a valid GDAL
installation.
Class echanges
.
Wilson Lara Henao <wilarhen@gmail.com> [aut, cre], Victor Gutierrez-Velez [aut], Ivan Gonzalez [ctb], Maria C. Londono [ctb]
Jetz, W., McGeoch, M. A., Guralnick, R., Ferrier, S., Beck, J., Costello, M. J., ... & Meyer, C. (2019). Essential biodiversity variables for mapping and monitoring species populations. Nature Ecology & Evolution, 3(4), 539-551.
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.
## A Global Surface Water layer ('seasonality') covering the extent of a ## Colombian municipality Cartagena del Chaira is formated into an ## spatial EBV: load(system.file('cchaira_roi.RData',package = 'ecochange')) rsp_cchaira <- getrsp(cchaira_roi, lyrs = 'seasonality', mc.cores = 2, path = tempdir()) file.exists(rsp_cchaira) season_cchaira <- rsp2ebv(cchaira_roi, lyrs = 'seasonality', path = tempdir())
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