Imports: raster, dismo, gbm, stats, base
Suggests: maptools, testthat, grDevices, knitr, rmarkdown, ncdf4,

person("Danis","Bruno",email = "bdanis@ulb.ac.be",role = "aut"),
Description: Species distribution modelling (SDM) has been developed for several years to address conservation issues, assess the direct impact of human activities on ecosystems and predict the potential distribution shifts of invasive species (see Elith et al. 2006, Pearson 2007, Elith and Leathwick 2009). SDM relates species occurrences with environmental information and can predict species distribution on their entire occupied space. This approach has been increasingly applied to Southern Ocean case studies, but requires corrections in such a context, due to the broad scale area, the limited number of presence records available and the spatial and temporal aggregations of these datasets. SDMPlay is a pedagogic package that will allow you to compute SDMs, to understand the overall method, and to produce model outputs. The package, along with its associated vignettes, highlights the different steps of model calibration and describes how to choose the best methods to generate accurate and relevant outputs. SDMPlay proposes codes to apply a popular machine learning approach, BRT (Boosted Regression Trees) and introduces MaxEnt (Maximum Entropy). It contains occurrences of marine species and environmental descriptors datasets as examples associated to several vignette tutorials available at <https://github.com/charleneguillaumot/THESIS/tree/master/SDMPLAY_R_PACKAGE>.
Suggests: maptools, testthat, grDevices, knitr, rmarkdown, markdown,

Title: Tools for processing data associated with species distribution
Author: Jeremy VanDerWal, Luke Shoo and Stephanie Januchowski
Description: This is a set of tools that are useful for applications of

Package: SDMTools
Type: Package
Title: Species Distribution Modelling Tools: Tools for processing data
associated with species distribution modelling exercises
Version: 1.1-11
Date: 2012-04-10
Author: Jeremy VanDerWal, Lorena Falconi, Stephanie Januchowski, Luke
Shoo and Collin Storlie
Maintainer: Jeremy VanDerWal <jjvanderwal@gmail.com>
Suggests: adehabitat, raster, sp
Description: This packages provides a set of tools for post processing
the outcomes of species distribution modeling exercises. It
includes novel methods for comparing models and tracking
changes in distributions through time. It further includes
methods for visualizing outcomes, selecting thresholds,
calculating measures of accuracy and landscape fragmentation
statistics, etc.. This package was made possible in part by
financial support from the Australian Research Council & ARC
Research Network for Earth System Science.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-04-10 06:22:26 UTC; svnuser
Repository: CRAN
Date/Publication: 2012-04-10 06:31:35