Mata-Nicolas E., Montero-Pau J., Gimeno-Paez E., Garcia-Perez A., Ziarsolo P., Blanca J., van der Knaap E., Diez M.J., Canizares J. (2016) Multiple stressors: using the honeybee model BEEHAVE to explore how spatial and temporal forage stress affects colony resilience. (2017) The role of conservative versus innovative nesting behavior on the 25‐year population expansion of an avian predator. Journal of Biogeography, 41: 513-523ĭias A., Palma L., Carvalho F., Neto D., Real J., Beja P. (2013) The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots. (2020) Description of Latica, a new monotypic spider genus from Uruguay and Argentina (Araneae, Herpyllinae, Gnaphosidae): An integrative approach. ĭa Silva B.A., Guerrero J.C., Bidegaray-Batista L. (2018) Understanding factors affecting the distribution of the maned wolf ( Chrysocyon brachyurus) in South America: Spatial dynamics and environmental drivers. (in prep.) The ABC of model evaluation: a visual method for a clearer assessment of model accuracy Other papers using modEvA (excluding self-citations):Ĭoelho L., Romero D., Queirolo D. DOI: īarbosa A.M., Brown J.A., Acevedo P., Lobo J.M. Hystrix – Italian Journal of Mammalogy, 27(1). (2016) How well can models predict changes in species distributions? A 13-year-old otter model revisited. (2013) New measures for assessing model equilibrium and prediction mismatch in species distribution models. You can then check out the package help files and try some of the provided examples: help("modEvA")īarbosa A.M., Real R., Muñoz A.R. You only need to install (each version of) the package once, but then every time you re-open R you need to load the package by typing: library(modEvA) with R menu " Packages - Install packages from local zip files" (Windows), or " Packages & Data - Package installer, Packages repository - Local source package" (Mac), or " Tools - Install packages - Install from: Package Archive File" (RStudio). zip for Windows, available here) and then install the package from there, e.g. To install the latest modEvA version, you can either upgrade R or download the compressed modEvA package source files to your disk (. To check which modEvA version you have actually installed, type citation(package="modEvA"). This should work if you have the latest version of R otherwise, it may either fail (producing a message like " package 'modEvA' is not available for your R version") or install an older version of modEvA. To install the development version (with new features, possibly also new bugs, but also new bug fixes) of modEvA from R-Forge, paste the following command in the R console (while connected to the internet): install.packages("modEvA", repos="") To install the latest CRAN version of modEvA, paste the following command in the R console (while connected to the internet): install.packages("modEvA") Package modEvA is also available on CRAN, though it is more regularly updated here on R-Forge. It includes also a sample data set with some species distribution models. It includes functions for variation partitioning calculating several measures of model discrimination, classification, explanatory power, and calibration optimizing prediction thresholds based on a number of criteria performing multivariate environmental similarity surface ( MESS) analysis and displaying various analytical plots. ModEvA is an R package for species distribution model evaluation and analysis.
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