Package: spup 1.4-0
spup: Spatial Uncertainty Propagation Analysis
Uncertainty propagation analysis in spatial environmental modelling following methodology described in Heuvelink et al. (2007) <doi:10.1080/13658810601063951> and Brown and Heuvelink (2007) <doi:10.1016/j.cageo.2006.06.015>. The package provides functions for examining the uncertainty propagation starting from input data and model parameters, via the environmental model onto model outputs. The functions include uncertainty model specification, stochastic simulation and propagation of uncertainty using Monte Carlo (MC) techniques. Uncertain variables are described by probability distributions. Both numerical and categorical data types are handled. Spatial auto-correlation within an attribute and cross-correlation between attributes is accommodated for. The MC realizations may be used as input to the environmental models called from R, or externally.
Authors:
spup_1.4-0.tar.gz
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spup.pdf |spup.html✨
spup/json (API)
NEWS
# Install 'spup' in R: |
install.packages('spup', repos = c('https://ksawicka.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ksawicka/spup/issues
- OC - Soil organic carbon content in a south area (33 x 33km) of lake Alaotra in Madagascar.
- OC_sd - Standard deviation of soil organic carbon content in a south area (33 x 33km) of lake Alaotra in Madagascar.
- TN - Soil total nitrogen content in a south area (33 x 33km) of lake Alaotra in Madagascar.
- TN_sd - Standard deviation of soil total nitrogen content in a south area (33 x 33km) of lake Alaotra in Madagascar.
- dem30m - Digital Elevation Model of Zlatibor region in Serbia.
- dem30m_sd - Standard deviation of Digital Elevation Model of Zlatibor region in Serbia.
- woon - Neighbourhood in Rotterdam.
monte-carlospatialuncertainty-analysisuncertainty-propagation
Last updated 11 months agofrom:f6434a87a2. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:defineMUMdefineUMexecutablegenSamplelist_depthmakeCRMmean_MC_sgdfpropagatequantile_MC_sgdfrendersd_MC_sgdftemplatevar_MC_sgdfvarcov
Dependencies:abindclassclassIntcliDBIe1071FNNgluegstatintervalsKernSmoothlatticelifecyclemagrittrMASSmvtnormproxypurrrrasterRcpprlangs2sfsftimespspacetimestarsterraunitsvctrswhiskerwkxtszoo
Spatial Uncertainty Propagation Analysis
Rendered fromExternalModel_v2.Rmd
usingknitr::rmarkdown
on Nov 12 2024.Last update: 2018-07-17
Started: 2017-04-03
Spatial Uncertainty Propagation Analysis
Rendered fromRotterdam.Rmd
usingknitr::rmarkdown
on Nov 12 2024.Last update: 2018-07-17
Started: 2017-01-30
Spatial Uncertainty Propagation Analysis
Rendered fromCN_v2.Rmd
usingknitr::rmarkdown
on Nov 12 2024.Last update: 2018-07-17
Started: 2017-06-15
Spatial Uncertainty Propagation Analysis
Rendered fromDEM_v3.Rmd
usingknitr::rmarkdown
on Nov 12 2024.Last update: 2018-07-17
Started: 2017-02-08