nnspat

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. The package 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 or chi-square tests.

Last 30 days

This package has been downloaded 140 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,187 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jan 22, 2025 with 31 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.