README.md

In BigelowLab/dismotools: dismotools

dismotools

R: extra tools for the raster and dismo packages.

Requirements

• R
• raster package for geographic data analysis and modeling.
• dismo package for species distribution modeling.

Installation

It's easy to install using Hadley Wickham's devtools.

library(devtools)
install_github('BigelowLab/dismotools')

Usage

Maxent tools - reading from disk, getting model elements, retrieving response data, assemblies of models

m = read_maxent("/path/to/maxent/directory")
ok = model_successful(m)
auc = maxent_get_results(m, 'AUC')
resp = maxent_repsonse(m, plot = TRUE)
contrib = maxent_get_results(m, 'contribution')
mm = lapply(list_of_maxent_directories, maxent_assemble_results)

Raster tools using a stack or brick of layers RR

random_locations = layers_randomPoints(RR, pts = points_to_avoid, N = number to select)
extracted_points = layers_extractPoints(RR, pts_to_extract)
animateGif(RR, ...)
auc = auc_raster(RR, xy = locations, ...)

Raster tools using a single layer R

auc = auc_raster(R, xy = locations, ...)

Date and time

x = today()
tomorrow(x, n = +ndays)
yesterday(x, n = -ndays)
date_to_seasonname(x)
date_to_seasonstart(x)
date_to_week(x, week_length = 7|8|etc)
date_to_seasonprior(x)
seq_season(from = , to = )

BigelowLab/dismotools documentation built on Jan. 4, 2023, 11:24 a.m.