Building Diversity Models from Multiple Species Occupancy Models
person("Derek", "Corcoran", email = "derek.corcoran.barrios@gmail.com",
role = c("aut", "cre"))
Predictions of alpha diversity are fitted from presence data, first abundance is modeled from occupancy models and then, several diversity indices are calculated and finally GLM models are used to predict diversity in different environments and select priority areas.
dplyr, ggplot2, glmulti, raster, qpcR, vegan

c(person("Derek", "Corcoran", email = "derek.corcoran.barrios@gmail.com",
role = c("aut", "cre")), person("Dylan", "Kesler",  role = c("aut")), person("Elisabeth", "Webb",  role = c("aut")),  person("Nicole" ,"Michel",  role = c("aut")))
Derek Corcoran [aut, cre],
Dylan Kesler [aut],
Elisabeth Webb [aut],
Nicole Michel [aut]

c(person("Derek", "Corcoran", email = "derek.corcoran.barrios@gmail.com",
role = c("aut", "cre")), person("Dylan", "Kesler",  role = c("aut")), person("Elisabeth", "Webb",  role = c("aut")),  person("Nicole" ,"Michel",  role = c("ctb")))
dplyr, ggplot2, glmulti, qpcR, raster, vegan
Derek Corcoran [aut, cre],
Dylan Kesler [aut],
Elisabeth Webb [aut],
Nicole Michel [ctb]

c(person("Derek", "Corcoran", email = "derek.corcoran.barrios@gmail.com",
role = c("aut", "cre")), person("Dylan", "Kesler",  role = c("aut")), person("Nicole" ,"Michel",  role = c("ctb")), person("Mike", "Meredith",  role = c("ctb")))
Derek Corcoran [aut, cre],
Dylan Kesler [aut],
Nicole Michel [ctb],
Mike Meredith [ctb]

c(person("Derek", "Corcoran", email = "derek.corcoran.barrios@gmail.com",
role = c("aut", "cre")), person("Dylan", "Kesler",  role = c("aut")), person("Lisa", "Webb",  role = c("aut")), person("Giorgia", "Graells",  role = c("aut")), person("Nicole" ,"Michel",  role = c("ctb")), person("Mike", "Meredith",  role = c("ctb")))
Derek Corcoran [aut, cre],
Dylan Kesler [aut],
Lisa Webb [aut],
Giorgia Graells [aut],
Nicole Michel [ctb],
Mike Meredith [ctb]

Functions for re-sampling a community matrix to compute
Shannon's Diversity index at different sampling levels.
There are two functions in this package, which can be used
together to estimate the Shannon's Diversity index at different
levels of sample size. A Monte-Carlo procedure is used to
re-sample a given observation at each level of sampling. The
expectation being that the mean of the re-sampling will
approach Shannon's diversity index at that sample level.