'CENFA.R' 'GLcenfa-class.R' 'GLcenfa.R' 'GLdeparture-class.R'
'GLdeparture.R' 'RcppExports.R' 'brStick.R' 'calc.R'
'climdat.fut.R' 'climdat.hist.R' 'cnfa-class.R' 'cnfa.R'
'covij.R' 'departure-class.R' 'departure.R' 'enfa-class.R'
'enfa.R' 'exposure_map.R' 'names.R' 'overlay.R' 'parCov.R'
'parScale.R' 'vulnerability-class.R' 'predict.R' 'scatter.R'
'sensitivity_map.R' 'slots.R' 'stretchPlot.R' 'tree-data.R'
'vulnerability.R' 'vulnerability_map.R'

Tools for climate- and ecological-niche factor analysis of spatial data, including methods for visualization of spatial variability of species sensitivity, exposure, and vulnerability to climate change. Processing of large files and parallel methods are supported. Climate-niche factor analysis is described in Rinnan and Lawler (2019) <doi:10.1111/ecog.03937>.
doSNOW (>= 1.0.16), foreach (>= 1.4.4), graphics, grDevices,
magrittr, methods, parallel (>= 3.3.3), pbapply (>= 1.3.3),
Rcpp, snow (>= 0.4.2), sp (>= 1.2.7)
'CENFA.R' 'GLcenfa-class.R' 'GLcenfa.R' 'GLdeparture-class.R'
'GLdeparture.R' 'RcppExports.R' 'brStick.R' 'calc.R'
'climdat.fut.R' 'climdat.hist.R' 'cnfa-class.R' 'cnfa.R'
'covij.R' 'departure-class.R' 'departure.R' 'enfa-class.R'
'enfa.R' 'exposure_map.R' 'overlay.R' 'parCov.R' 'parScale.R'
'vulnerability-class.R' 'predict.R' 'scatter.R'
'sensitivity_map.R' 'slots.R' 'stretchPlot.R' 'tree-data.R'
'vulnerability.R' 'vulnerability_map.R'

Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion
Polls in Catalonia
person("Xavier", "Fernández-i-Marín", , "xavier.fim@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9522-8870"))
Easy and convenient access to the datasets / microdata of the
"Centre d'Estudis d'Opinió", the catalan institution for polling and public
opinion.  The package uses the data stored in the servers of the CEO and returns
it in a tidy format (tibble).
R (>= 4.1.0), haven, dplyr (>= 1.0.0), urltools, stringr,
jsonlite
knitr, ggplot2, tidyr (> 1.1.1), curl, rmarkdown
Xavier Fernández-i-Marín [aut, cre]
(<https://orcid.org/0000-0002-9522-8870>)