SKATER-CON: Unsupervised Regionalization via Stochastic Tree Partitioning within a Consensus Framework Using Random Spanning Trees: Research Paper. - Orhun Aydin; Mark V. Janikas; Renato M. Assunção; Ting-Hwan Lee (GeoAI@SIGSPATIAL, 2018)

A quantitative comparison of regionalization methods. - Orhun Aydin; Mark V. Janikas; Renato Martins Assunção; Ting-Hwan Lee (Int. J. Geogr. Inf. Sci., 2021)

Spatially thinned bootstrap and random toroidal shift methods for correct estimation of P-values of maps similarity. - Renato Assunção; Kevin Butler; Eric Krause; Mark V. Janikas; Ting-Hwan Lee; Hanna Asefaw (Int. J. Geogr. Inf. Sci., 2025)