Packaged: 2022-11-03 01:20:39 UTC; kosukeimai

Title: Graphical Modelling and Ordination using Copulas
Authors@R: c(person("Gordana", "Popovic", email = "g.popovic@unsw.edu.au", role = c("aut", "cre")),
person("Michelle", "Lim", role = "ctb"), person("Francis K.C.", "Hui", role = "ctb"))
Description: Creates 'graphs' of species associations (interactions) and ordination biplots from
co-occurrence data by fitting discrete gaussian copula graphical models. Methods described in
Imports: mvabund, glasso, plyr, sna, MASS, tweedie, igraph, betareg,
doParallel, mgcv, glm2, ordinal, compiler, foreach, stats
Suggests: knitr, rmarkdown, testthat,tidyr, ggplot2, RColorBrewer,

person("David", "Warton", role = "ctb"), person("Francis K.C.", "Hui", role = "ctb"),
person("Michelle", "Lim", role = "ctb"))
Imports: glasso, plyr, sna, MASS, tweedie, igraph, betareg, doParallel,
mgcv, glm2, ordinal, compiler, foreach, stats

Title: Integrating Ecological Remote Sensing Data to Derive EBV Metrics
Maintainer: Wilson Lara Henao <wilarhen@temple.edu>
Description: Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that can document biodiversity change. Freely available remote sensing products (RSP) are downloaded and integrated with data for national or regional domains to derive EBV metrics related to horizontal ecosystem extent, forest fragmentation, species distribution ranges, among others. To process the spatial data, the users must provide at least a region of interest (polygon or geographic administrative unit). Downloadable RSP include Global Surface Water (Peckel et al., 2016) <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013) <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>.

Maintainer: Wilson Lara Henao <wilarhen@gmail.com>
Description: Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that can document biodiversity change. Freely available remote sensing products (RSP) are downloaded and integrated with data for national or regional domains to derive metrics for EBV related to horizontal ecosystem extent, forest fragmentation, species distribution ranges, among others. To process the spatial data, the users must provide at least a region of interest (polygon or geographic administrative unit). Downloadable RSP include Global Surface Water (Peckel et al., 2016) <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013) <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>.
Depends: R (>= 3.5.0), raster, rgeos, stats, ggplot2, sf, gdalUtils