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fuzzysim.r-forge.r-project.org

fuzzysim

Welcome to fuzzySim project! FuzzySim is an R package for calculating fuzzy similarity in species occurrence patterns. It includes functions for data preparation, such as converting species lists (long format) to presence-absence tables (wide format). Obtaining unique abbreviations of species names. Or transposing (parts of) complex data frames. And sample data sets. For providing practical examples. It can convert binary presence-absence to fuzzy occurrence data. Using e.g. trend surface analysis. Insta...

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fuzzysim | fuzzysim.r-forge.r-project.org Reviews
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Welcome to fuzzySim project! FuzzySim is an R package for calculating fuzzy similarity in species occurrence patterns. It includes functions for data preparation, such as converting species lists (long format) to presence-absence tables (wide format). Obtaining unique abbreviations of species names. Or transposing (parts of) complex data frames. And sample data sets. For providing practical examples. It can convert binary presence-absence to fuzzy occurrence data. Using e.g. trend surface analysis. Insta...
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1 inverse distance interpolation
2 for the qgis
3 install and load
4 install
5 fuzzysim
6 type
7 citation package= fuzzysim
8 package source files
9 or tar gz
10 available here
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inverse distance interpolation,for the qgis,install and load,install,fuzzysim,type,citation package= fuzzysim,package source files,or tar gz,available here,or here,rstudio,load,it by typing,library fuzzysim,help fuzzysim,references,cite,find out more
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fuzzysim | fuzzysim.r-forge.r-project.org Reviews

https://fuzzysim.r-forge.r-project.org

Welcome to fuzzySim project! FuzzySim is an R package for calculating fuzzy similarity in species occurrence patterns. It includes functions for data preparation, such as converting species lists (long format) to presence-absence tables (wide format). Obtaining unique abbreviations of species names. Or transposing (parts of) complex data frames. And sample data sets. For providing practical examples. It can convert binary presence-absence to fuzzy occurrence data. Using e.g. trend surface analysis. Insta...

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modtools.wordpress.com modtools.wordpress.com

modTools | simple tools for simpler modelling | Page 2

https://modtools.wordpress.com/page/2

Simple tools for simpler modelling. Skip to primary content. Skip to secondary content. Newer posts →. New publications on modTools functions. March 16, 2015. Have recently been published. Material: a short one in the. Journal of Brief Ideas. Methods in Ecology and Evolution. Wich now includes modelling functions such as. Etc — see previous post. Please cite the articles when you use the functions! Barbosa, am (2015) Re-scaling of model evaluation measures to allow direct comparison of their values.

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False Discovery Rate (FDR) | modTools

https://modtools.wordpress.com/2012/05/27/fdr

Simple tools for simpler modelling. Skip to primary content. False Discovery Rate (FDR). May 27, 2012. It is common in ecology to search for statistical relationships between species’ occurrence and a set of predictor variables. However, when a large number of variables is analysed (compared to the number of observations), false findings may arise due to repeated testing. García (2003). Recommended controlling the false discovery rate (FDR; Benjamini and Hochberg 1995. Function, now included in the.

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fuzzySim | modTools

https://modtools.wordpress.com/packages/fuzzysim

Simple tools for simpler modelling. Skip to primary content. FUZZY SIMILARITY IN SPECIES DISTRIBUTIONS. Is an R package that builds on some functions preliminarily published in the. It implements fuzzy versions of the latter two functions to account for fuzziness /uncertainty / vagueness. When comparing species presence-absence patterns. Or regional species compositions. And when calculating beta diversity. It also includes functions to generate fuzzy occurrence data. Namely through trend surface analysis.

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fuzzysim.r-forge.r-project.org fuzzysim.r-forge.r-project.org

fuzzysim

Welcome to fuzzySim project! FuzzySim is an R package for calculating fuzzy similarity in species occurrence patterns. It includes functions for data preparation, such as converting species lists (long format) to presence-absence tables (wide format). Obtaining unique abbreviations of species names. Or transposing (parts of) complex data frames. And sample data sets. For providing practical examples. It can convert binary presence-absence to fuzzy occurrence data. Using e.g. trend surface analysis. Insta...

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