ecosimr.org
Co-Occurrence Quickstart
http://www.ecosimr.org/cooc.html
EcoSimR 0.1.0. Data for co-occurrence null models should be a species by site matrix of incidence data. West Indian Finch Data. Provides an easy way to plot and summarize output. We’ll use the. Algorithm (See table 2 Gotelli 2000) and the C-Score metric (Stone and Roberts 1990). FinchMod - cooc null model(dataWiFinches, algo=sim9,nReps=10000,burn in = 500). Summary and plot info summary(finchMod). See a plot of the actual matrix compared to a single simulated matrix. 85 (1): 74 79.
ecosimr.org
Size Ratio Quickstart
http://www.ecosimr.org/size.html
EcoSimR 0.1.0. Size ratio model is a data frame where each row is a different species and each column is a different site. In the size overlap analyses, each entry represents the body size of a particular species in a particular site. In phenology analyses, each entry represents the peak flowering time of a particular species in a particular site. EcoSimR comes with an example data set from Brown (1975). Sizes of desert rodents. RodentMod - size null model(dataRodents). Harvard University Press, Cambridge.
ecosimr.org
Niche Overlap Quickstart
http://www.ecosimr.org/niche.html
EcoSimR 0.1.0. Data for niche overlap null models is a data frame where each row represents a different species in the assemblage being analyzed. Each column represents a different niche category. In the example data set, MacArthur’s Warblers (MacArthur and Levins 1967) provides an index of niche overlap. Run the niche overlap model with the. Winemiller and Pianka 1990) algorithm and the Pianka (1973) index of overlap. WarbMod - niche null model(dataMacWarb). Get a standard histogram plot of output.
ecosimr.org
EcoSimR
http://www.ecosimr.org/index.html
EcoSimR 0.1.0. A software package to fit ecological null models. EcoSimR is an open source R version of the EcoSim software project. It is a package to fit null models of ecological data. It provides algorithms and metrics for niche-overlap, body size ratios and species co-occurrence. Users can also integrate their own algorithms and metrics within these frameworks or completely novel null models. Details about the package can be found in the full documentation. Niche overlap null model.
