nnspat-package | R Documentation |
nnspat
is a package for computation of spatial pattern tests based on NN relations and
generation of various spatial patterns.
The nnspat
package contains the functions for segregation/association tests based on nearest neighbor contingency
tables (NNCTs), and tests for species correspondence, NN symmetry and reflexivity based on the corresponding
contingency tables and functions for generating patterns of segregation, association, uniformity, and various
non-random labeling (non-RL) patterns for data in two (or more) dimensions. Applications include plant ecology, disease clustering in epidemiology, and so on.
#' See (\insertCitedixon:1994,ceyhan:eest-2010,ceyhan:jkss-posthoc-2017;textualnnspat).
nnspat
functionsThe nnspat
functions can be grouped as
Auxiliary Functions,
NNCT Functions,
SCCT Functions,
RCT Functions,
NN-Symmetry Functions,
and the Pattern (Generation) Functions.
Contains the auxiliary functions used in NN methods, such as indices of NNs, number of shared NNs, Q, R and T values, and so on. In all these functions the data sets are either matrices or data frames.
Contains the functions for testing segregation/association using the NNCT. The types of the tests are cell-specific tests, class-specific tests, and overall tests of segregation. See (\insertCiteceyhan:stat-neer-class2009,ceyhan:exact-NNCT,ceyhan:eest-2010,ceyhan:SJScorrected2010,ceyhan:jnps-NNCT-2010,ceyhan:jkss-posthoc-2017;textualnnspat).
Contains the functions used for testing species correspondence using the NNCT. The types are NN self and self-sum tests and the overall test of species correspondence. See (\insertCiteceyhan:NNCorrespond2018;textualnnspat).
Contains the functions for testing reflexivity using the reflexivity contingency table (RCT). The types are NN self reflexivity and NN mixed-non reflexivity. See (\insertCiteceyhan:NNreflexivity2017,ceyhan:NNreflex1D2018;textualnnspat).
Contains the functions for testing NN symmetry using the NNCT
and Q
-symmetry contingency table. The types are NN
symmetry and symmetry in shared NN structure.
See (\insertCiteceyhan:SWJ-spat-sym2014;textualnnspat).
Contains the functions for generating and visualization of spatial patterns of segregation, association, uniformity clustering and non-RL. See (\insertCiteceyhan:SiM-seg-ind2014,ceyhan:serra-2014;textualnnspat).
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