2007
DOI: 10.18637/jss.v022.i07
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TheecodistPackage for Dissimilarity-based Analysis of Ecological Data

Abstract: Ecologists are concerned with the relationships between species composition and environmental factors, and with spatial structure within those relationships. A dissimilaritybased framework incorporating space explicitly is an extremely flexible tool for answering these questions. The R package ecodist brings together methods for working with dissimilarities, including some not available in other R packages. We present some of the features of ecodist, particularly simple and partial Mantel tests, and make recom… Show more

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Cited by 2,146 publications
(1,650 citation statements)
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References 32 publications
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“…We evaluated all data for normality by generating box-and-whisker, histogram and quantile-quantile plots and log-transformed data when necessary. We explored relationships between gas flux and potential explanatory variables using the Ecodist package (Goslee and Urban 2007) and by building generalized linear models (GLM). We used these models to estimate daily emissions of CO 2 and CH 4 and generate an annual flux budget from March 1, 2012 to February 28, 2013.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…We evaluated all data for normality by generating box-and-whisker, histogram and quantile-quantile plots and log-transformed data when necessary. We explored relationships between gas flux and potential explanatory variables using the Ecodist package (Goslee and Urban 2007) and by building generalized linear models (GLM). We used these models to estimate daily emissions of CO 2 and CH 4 and generate an annual flux budget from March 1, 2012 to February 28, 2013.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…We compared the two matrices in a Mantel test with 10,000 permutations to evaluate the level of significance for the Pearson correlation coefficient in package ecodist (Goslee & Urban, 2007).…”
Section: Isolation-by-distancementioning
confidence: 99%
“…We examined the association between geographical distance and genetic divergence (isolation by distance, IBD) with a Mantel test using the package Ecodist 1.1.3 (Goslee and Urban 2007) in the software R 2.12.2 (R Development Core Team 2011), using 10,000 permutations, and bootstrapping confidence limits with 1,000 iterations. Genetic divergence was measured as F ST /(1 -F ST ), and geographic distances between sample sites were calculated as shortest waterway distance using ArcGIS 10 (ESRI 2010, Redlands, CA, USA).…”
Section: Association Between Geographical Distance and Genetic Divergmentioning
confidence: 99%