Other packages > Find by keyword >

nnspat  

Nearest Neighbor Methods for Spatial Patterns
View on CRAN: Click here


Download and install nnspat package within the R console
Install from CRAN:
install.packages("nnspat")

Install from Github:
library("remotes")
install_github("cran/nnspat")

Install by package version:
library("remotes")
install_version("nnspat", "0.1.2")



Attach the package and use:
library("nnspat")
Maintained by
Elvan Ceyhan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-10
Latest Update: 2023-12-19
Description:
Contains the functions for testing the spatial patterns (of segregation, spatial symmetry, association, disease clustering, species correspondence, and reflexivity) based on nearest neighbor relations, especially using contingency tables such as nearest neighbor contingency tables (Ceyhan (2010) and Ceyhan (2017) and references therein), nearest neighbor symmetry contingency tables (Ceyhan (2014) ), species correspondence contingency tables and reflexivity contingency tables (Ceyhan (2018) for two (or higher) dimensional data. The package also contains functions for generating patterns of segregation, association, uniformity in a multi-class setting (Ceyhan (2014) ), and various non-random labeling patterns for disease clustering in two dimensional cases (Ceyhan (2014) ), and for visualization of all these patterns for the two dimensional data. The tests are usually (asymptotic) normal z-tests or chi-square tests.
How to cite:
Elvan Ceyhan (2021). nnspat: Nearest Neighbor Methods for Spatial Patterns. R package version 0.1.2, https://cran.r-project.org/web/packages/nnspat. Accessed 26 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:25), 0.1.0 (2021-05-10 09:30), 0.1.1 (2022-08-30 09:00)
Other packages that cited nnspat R package
View nnspat citation profile
Other R packages that nnspat depends, imports, suggests or enhances
Complete documentation for nnspat
Functions, R codes and Examples using the nnspat R package
Some associated functions: EV.Nii . EV.Tcomb . EV.Tkinv . EV.nnct . EV.rct . EV.tct . EV.tctI . NN . NNdist . NNdist2cl . NNsub . Ninv . Nt.def . Ntkl . QRval . Qsym.ct . Qsym.test . SkewTk . Tcomb . Tval . Wmat . Xsq.ceTk . Xsq.nnsym . ZTcomb . ZTrun . ZceTk . Znnsym . Znnsym2cl . aij.theta . asycovTkTl . asyvarTk . bvnorm.pdf . ceTk . ceTkinv . ceTrun . cellsTij . cov.nnct . cov.nnsym . cov.seg.coeff . cov.tct . covNrow2col . covTcomb . covTkTl . dist.std.data . dist2full . dot-onAttach . dot-onLoad . euc.dist . exact.nnct . exact.pval1s . exact.pval2s . funs.auxcovtct . funs.base.class.spec . funs.cell.spec.ss . funs.class.spec . funs.covNii . funs.covtct . funs.kNNdist . funs.kNNdist2cl . funs.overall.nnct . funs.overall.seg . funs.overall.tct . funs.pijPij . funs.scct . funs.seg.coeff . funs.varNii . funs.vartct . funsAijmat . funsC_MI_II . funsExpTk . funsExpTrun . funsNNclass.spec . funsN_I_II . funsOnevsRest . funsPseg.ss . funsQandR . funsRowColSums . funsVarTk . funsVarTrun . funsW345values . funsXsq.nnref . funsXsq.nnsym.dx . funsXsq.nnsym.ss . funsXsq.seg.coeff . funsXsq.spec.cor . funsZTkinv . funsZcell.nnct . funsZcell.nnct.pval . funsZcell.spec . funsZcell.tct . funsZdir.nnct . funsZdir.nnct.ss . funsZmixed.nonref . funsZnnref . funsZnnself . funsZnnself.sum . funsZnnsym.dx . funsZnnsym.ss . funsZnnsym2cl.dx . funsZnnsym2cl.ss . funsZseg.coeff . funsZsegind . funsZself.ref . ind.nnsym . ind.seg.coeff . ipd.mat.euc . ipd.mat . kNN . mat2vec . matrix.sqrt . nnct.boot.dis . nnct . nnct.sub . nnspat-package . pairwise.lab . pick.min.max . pk . plot.Clusters . plot.SpatPatterns . print.Chisqtest . print.Clusters . print.SpatPatterns . print.cellhtest . print.classhtest . print.refhtest . print.summary.Clusters . print.summary.SpatPatterns . prob.nnct . rassoc . rassocC . rassocG . rassocI . rassocU . rct . rdiag.clust . rhor.clust . rnonRL . rnonRLI . rnonRLII . rnonRLIII . rnonRLIV . rrot.clust . rseg . rself.ref . runif.circ . seg.ind . sharedNNmc . summary.Clusters . summary.SpatPatterns . swamptrees . tct . tocher.cor . var.nnct . var.nnsym . var.seg.coeff . var.tct . varPseg.coeff . varTkinv.sim . 
Some associated R codes: ClassFunctions.R . NNCTFunctions.R . StartupFunctions.R . data.R . nnspat.R .  Full nnspat package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

weightr  
Estimating Weight-Function Models for Publication Bias
Estimates the Vevea and Hedges (1995) weight-function model. By specifying arguments, users can also ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
WCE  
Weighted Cumulative Exposure Models
A flexible method for modeling cumulative effects of time-varying exposures, weighted according to t ...
Download / Learn more Package Citations See dependency  

28,793

R Packages

247,686

Dependencies

76,198

Author Associations

28,721

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA