map.easy: Predict species distribution made simple.

Description

Prediction of species distributions, multiple species simultaneously, and output of maps, klms and relevant data to files. All using a single step.

Usage

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map.easy(longlat, layers = NULL, n = 3, file = NULL, minimum = 3,
  runs = 0, subset = 0)

Arguments

longlat

data.frame of species names, longitude and latitude (three columns) of each occurrence record.

layers

Raster* object as defined by package raster. If NULL they are read from data files.

n

Number of pca axes for environmental data reduction.

file

Name of output csv file with all results. If NULL it is named "Results_All.csv".

minimum

Minimum number of occurrence records to perform a maxent model. If these are lower than the minimum, the function will return a map with presences points only.

runs

If <= 0 no ensemble modelling is performed. If > 0, ensemble modelling with n runs is made. For each run a bootstrap (random sampling with replacement) of all occurrence records and a new set of 1000 background points are chosen.

subset

Number of predictive variables to be randomly selected from layers for each run if runs > 0. If <= 0 all layers are used on all runs.

Details

Builds maxent species distribution models and outputs maps in both pdf and kml format, plus a file with EOO, AOO and a list of countries where the species is predicted to be present.

Value

Writes maps, kmls and all information to a file.


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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