calc_NT2: Multivariate novelty/extrapolation NT2
In DrylandEcology/rSW2analysis: Analysis Tools for Dryland Ecology Simulation Frameworks
Description
Usage
Arguments
Details
Notes
References
View source: R/functions_mathematical.R
Description
"NT2 can range from zero up to unbounded positive values. NT2 values
ranging from zero to one indicate similarity (in terms of both univariate
range and multivariate combination), with values closer to zero being more
similar. Values larger than one are indicative of novel combinations"
(Mesgaran et al. 2014).
Usage
1
calc_NT2(refdat, prodat)
Arguments
refdat
A numerical matrix. The reference values of variables organized
in columns.
prodat
A numerical matrix. The projected values. The columns must
match those of refdat.
Details
Calculates the Mahalanobis distance of each observation to the environmental
center of the reference set for both the reference and the projection data
set and calculate the ratio between the two.
Notes
The code is adapted from Bell & Schlaepfer 2015 (available
at https://github.com/bellland/SDM.Virtual.Species_Bell.Schlaepfer)
which was based on a comment by Matthew Bayly made at
https://pvanb.wordpress.com/2014/05/13/a-new-method-and-tool-exdet-to-evaluate-novelty-environmental-conditions/.
References
Mesgaran, M. B., R. D. Cousens, B. L. Webber, and J. Franklin.
2014. Here be dragons: a tool for quantifying novelty due to covariate
range and correlation change when projecting species distribution models.
Diversity and Distributions 20:1147-1159.
DrylandEcology/rSW2analysis documentation built on Nov. 8, 2021, 4:20 p.m.
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Description Usage Arguments Details Notes References
View source: R/functions_mathematical.R
Description
"NT2 can range from zero up to unbounded positive values. NT2 values ranging from zero to one indicate similarity (in terms of both univariate range and multivariate combination), with values closer to zero being more similar. Values larger than one are indicative of novel combinations" (Mesgaran et al. 2014).
Usage
1 | calc_NT2(refdat, prodat)
|
Arguments
refdat |
A numerical matrix. The reference values of variables organized in columns. |
prodat |
A numerical matrix. The projected values. The columns must
match those of |
Details
Calculates the Mahalanobis distance of each observation to the environmental center of the reference set for both the reference and the projection data set and calculate the ratio between the two.
Notes
The code is adapted from Bell & Schlaepfer 2015 (available at https://github.com/bellland/SDM.Virtual.Species_Bell.Schlaepfer) which was based on a comment by Matthew Bayly made at https://pvanb.wordpress.com/2014/05/13/a-new-method-and-tool-exdet-to-evaluate-novelty-environmental-conditions/.
References
Mesgaran, M. B., R. D. Cousens, B. L. Webber, and J. Franklin. 2014. Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models. Diversity and Distributions 20:1147-1159.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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