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| add.env | Takes an enmtools.species object and a set of environment layers, and adds the environmental predictor values to the occurrence data. Typically not called by the user directly. Code modified from Elith and Hijmans SDM with R tutorial |
| background.points.buffer | Takes a set of points, a buffer radius, a sample size, and a mask and returns randomly sampled points from within that buffer radius. Code modified from Elith and Hijmans SDM with R tutorial |
| background.raster.buffer | Takes a set of points, a buffer radius, and a mask and returns a raster based on that buffer radius. Code modified from Elith and Hijmans SDM with R tutorial |
| background.shape.buffer | Takes a set of points and a buffer radius, and returns a polygon. Code modified from Elith and Hijmans SDM with R tutorial |
| background.test | background.test Conduct a background test (also called a similarity test), as described in Warren et al. 2008. This test can either be run as an asymmetric test (species.1 vs background of species.2) or as a symmetric test (background of species.1 vs background of species.2). For GLM, Bioclim, and Domain models the replicates will be constructed from the background points supplied for each species. For Maxent, the replicates will be constructed from the range rasters stored in the enmtools.species objects. |
| calc.B1 | calc.B1, Calculates standardized version of Levins (1968) B1 measure of niche breadth given a vector of suitabilities |
| calc.B2 | calc.B2, Calculates standardized version of Levins (1968) B2 measure of niche breadth given a vector of suitabilities |
| check.bg | Takes an emtools.species object and adds background points if they're missing. Looks for range raster first, then goes for environmental layers. |
| check.clade | Checking for complians of an enmtools.clade object |
| check.species | Checking compliance for an object of class enmtools.species. |
| combine.species | Takes a list of enmtools.species objects and combines them into a single enmtools.species object |
| drop.species | Takes a an ENMTools clade object and a vector of species names. Drops the species from the tree and removes data from the clade object. |
| enmtools.aoc | Takes an overlap matrix and a tree and runs permutation tests to determine the statistical significance of the relationship between overlap and time |
| enmtools.bc | Takes an emtools.species object with presence and background points, and builds a Bioclim model |
| enmtools.calibrate | Takes an emtools.model object, and reformats it to run through the CalibratR package, calculates Continuous Boyce Index, and runs a Hosmer-Lemeshow goodness-of-fit test. Can either do a full CalibratR run or just return ECE/MCE statistics and plots. |
| enmtools.clade | Defining a class for enmtools.clade. Each clade gets: |
| enmtools.dm | Takes an emtools.species object with presence and background points, and builds a Domain model |
| enmtools.ecospat.bg | enmtools.ecospat.bg, Runs an ecospat background/similarity test using enmtool.species objects. |
| enmtools.ecospat.id | enmtools.ecospat.id, Runs an ecospat identity test using enmtool.species objects. |
| enmtools.gam | Takes an emtools.species object with presence and background points, and builds a gam |
| enmtools.glm | Takes an emtools.species object with presence and background points, and builds a GLM |
| enmtools.hypervolume | Takes an emtools.species object and environmental layers, and constructs a hypervolume using the R package hypervolume |
| enmtools.maxent | Takes an emtools.species object with presence and background points, and builds a maxent model |
| enmtools.ppmlasso | Takes an emtools.species object with presence and background points, and builds a Point Process Model (with Lasso penalty) |
| enmtools.rf | Takes an emtools.species object with presence and background points, and builds a random forest model |
| enmtools.rf.ranger | Takes an emtools.species object with presence and background points, and builds a random forest model using the 'probability mode' in package 'ranger' |
| enmtools.species | Defining a class for enmtools.species. |
| env.breadth | Calculates breadth of a model in environment space using latin hypercube sampling |
| env.evaluate | Calculates evaluation metrics (AUC, etc.) using latin hypercube sampling in environment space |
| env.overlap | Calculates overlap between models in environment space using latin hypercube sampling |
| euro.worldclim | Worldclim data for Europe |
| geog.range.overlap | Takes two emtools.species objects with range rasters, calculates overlap between them as in Fitzpatrick and Turelli 2006 |
| hypervolume.overlap | Takes an emtools.species object and environmental layers, and constructs a hypervolume using the R package hypervolume |
| iberolacerta.clade | GBIF data for a clade of Iberolacerta lizards from spain |
| identity.test | identity.test Conduct a niche identity/equivalency test as described in Warren et al. 2008. |
| install.extras | install.extras |
| interactive.plot.enmtools.model | Plot an enmtools.model object on an interactive map |
| interactive.plot.enmtools.species | Plot an enmtools.species object on an interactive map |
| marginal.plots | marginal.plots Plots the marginal response of a model to an environmental variable with all other variables held at their mean in env |
| moses.list | Takes a list of enmtools.species objects and uses model selection to ask whether they're better treated jointly or separately |
| multistack.pca | multistack.pca, simultaneous PCA on more than one stack of environmental rasters |
| node.overlap | Takes an overlap matrix and a tree and returns average overlap at nodes using Fitzpatrick & Turelli averaging method. Typicall called via enmtools.aoc rather than used directly. |
| point.overlap | Takes two emtools.species objects with range rasters, calculates overlap between them as in Cardillo and Warren 2016 |
| rangebreak.blob | rangebreak.blob Conduct a blob rangebreak test as described in Glor and Warren 2011. |
| rangebreak.linear | rangebreak.linear Conduct a linear rangebreak test as described in Glor and Warren 2011. |
| rangebreak.ribbon | rangebreak.ribbon Conduct a ribbon rangebreak test as described in Glor and Warren 2011. |
| raster.breadth | raster.breadth, applies measures of niche breadth to an ENM |
| raster.cor | Calculates the correlation coefficient between two rasters. |
| raster.cor.matrix | Takes a raster stack and returns a data frame containing Pearson correlation coefficients between the included rasters |
| raster.cor.plot | Takes a raster stack and returns a data frame containing Pearson correlation coefficients between the included rasters |
| raster.overlap | raster.overlap, measures overlap between two ENMs |
| raster.pca | raster.pca, PCA on a set of environmental rasters |
| raster.resid | raster.resid Measure standardized residuals from a linear regression between two rasters. |
| raster.standardize | raster.standardize, standardizes all values in a raster file |
| sim.points | Simulate a point process from an enmtools.model object |
| species.from.file | Takes a csv file and uses it to construct one or more enmtools.species objects. It constructs one object per unique value in the "species.col" column. |
| threespace.plot | threespace.plot, A plot that compares the environmental distribution of presence points, background points, and the set of supplied environmental layers. |
| trimdupes.by.raster | Takes a set of points and a raster mask and returns a data frame trimmed so that only one point is returned per grid cell in the mask raster. |
| visualize.enm | visualize.enm, Makes a heatmap of suitability of habitat in environment space according to a given model |
| visualize.overlap | visualize.overlap, Makes a contour map of suitability of habitat in environment space for two models |