nnspat - Nearest Neighbor Methods for Spatial Patterns
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)
<doi:10.1007/s10651-008-0104-x> and Ceyhan (2017)
<doi:10.1016/j.jkss.2016.10.002> and references therein),
nearest neighbor symmetry contingency tables (Ceyhan (2014)
<doi:10.1155/2014/698296>), species correspondence contingency
tables and reflexivity contingency tables (Ceyhan (2018)
<doi:10.2436/20.8080.02.72>) for two (or higher) dimensional
data. Also contains functions for generating patterns of
segregation, association, uniformity in a multi-class setting
(Ceyhan (2014) <doi:10.1007/s00477-013-0824-9>), and various
non-random labeling patterns for disease clustering in two
dimensional cases (Ceyhan (2014) <doi:10.1002/sim.6053>), and
for visualization of all these patterns for the two dimensional
data. The tests are usually (asymptotic) normal z-tests and
chi-square tests.
