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. 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.
- Version0.1.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release12/19/2023
Documentation
Team
Elvan Ceyhan
Insights
Last 30 days
This package has been downloaded 152 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,196 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.
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Dependencies
- Imports3 packages