Other packages > Find by keyword >

spup  

Spatial Uncertainty Propagation Analysis
View on CRAN: Click here


Download and install spup package within the R console
Install from CRAN:
install.packages("spup")

Install from Github:
library("remotes")
install_github("cran/spup")

Install by package version:
library("remotes")
install_version("spup", "1.4-0")



Attach the package and use:
library("spup")
Maintained by
Kasia Sawicka
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-13
Latest Update: 2024-01-10
Description:
Uncertainty propagation analysis in spatial environmentalmodelling 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.
How to cite:
Kasia Sawicka (2017). spup: Spatial Uncertainty Propagation Analysis. R package version 1.4-0, https://cran.r-project.org/web/packages/spup. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1-0 (2017-04-13 23:21), 0.1-1 (2017-07-24 12:59), 1.2-1 (2018-03-14 17:35), 1.3-1 (2018-07-03 16:20), 1.3-2 (2020-05-01 00:20)
Other packages that cited spup R package
View spup citation profile
Other R packages that spup depends, imports, suggests or enhances
Complete documentation for spup
Functions, R codes and Examples using the spup R package
Some associated functions: OC . OC_sd . TN . TN_sd . check_distribution . check_if_Spatial . crm2vgm . defineMUM . defineUM . dem30m . dem30m_sd . distribution_sampling . distribution_sampling_raster . executable . find_strata . genSample.JointNumericSpatial . genSample.JointScalar . genSample.MarginalCategoricalSpatial . genSample.MarginalNumericSpatial . genSample.MarginalScalar . genSample . list_depth . makeCRM . mean_MC_sgdf . plot.SpatialCorrelogramModel . print.template . propagate . quantile_MC_sgdf . render.character . render . render.template . sd_MC_sgdf . spup--pkg . stratsamp . template . var_MC_sgdf . varcov . vgm2crm . woon . 
Some associated R codes: OC-data.R . OC_sd-data.R . TN-data.R . TN_sd-data.R . check_distribution.R . check_if_Spatial.R . crm2vgm.R . defineUM.R . dem30m-data.R . dem30m_sd-data.R . distribution_sampling.R . distribution_sampling_raster.R . executable.R . find_strata.R . genSample.JointNumericSpatial.R . genSample.JointScalar.R . genSample.MarginalCategoricalSpatial.R . genSample.MarginalNumericSpatial.R . genSample.MarginalScalar.R . genSample.R . list_depth.R . makeCRM.R . mean_MC_sgdf.R . plot.SpatialCorrelogramModel.R . print.template.R . propagate.R . quantile_MC_sgdf.R . render.R . render.character.R . render.template.R . sd_MC_sgdf.R . spup.R . stratsamp.R . template.R . var_MC_sgdf.R . varcov.R . vgm2crm.R . woon-data.R .  Full spup package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA