# spatial community patterns **Repository Path**: ecology/spatial-community-patterns ## Basic Information - **Project Name**: spatial community patterns - **Description**: Various spatial patterns of population and community - **Primary Language**: R - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2015-03-04 - **Last Updated**: 2020-12-18 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README This is an under developing R package, which aims to quantify population/community structures from various angles. #spatial community structures Based on general individual-mapped data from the CTFS (http://www.ctfs.si.edu/; http://www.cfbiodiv.org/), the package can easily produce various spatial inexplicit and explicit population and community structures. it includes ## spatial inexplicit patterns common indexes 1. total abundance of the population/community 2. species abundance list of the community 3. total richness of the community 4. species evenness of the community 5. species' important values in a given community 6. various species diversity indexes 7. various functiona diversity indexes 8. various phylogenetic diversity indexes Niche related patterns 1. calculate species trait-based niche 2. caluclate resource-based niche 3. niche overlap matrix between species ## spatial explicit patterns Population structures 1. intra-specific spatial abundance distribution 2. range area relationship by box-counting method 3. intra-specific commonality 4. intra-specific dispersal distribution 5. aggregation measures by O-ring, K-function, pair correlation function, L function et al. Supported community structures 1. species abundance distribution (SAD) 2. species area relationship (SAR) 3. collector's curve 4. endemics area relationship (EAR) 5. community-level commonality 6. pairwise association measures 7. phylogenetic mark correlation function The package also include various null models of population and communities for testing ecological hypotheses. species shuffling null model ## Current focus Pairwise Species association point pattern reconstruction