Regional Colocation

Regional colocation analysis identifies statistically significant clusters of different features within geographic regions, aiming to uncover meaningful spatial relationships. Current research focuses on developing efficient algorithms, such as those incorporating multiple comparisons corrections like the Bonferroni method, to mitigate the high risk of false positives inherent in analyzing numerous potential colocation patterns across many regions. This improved accuracy enhances the reliability of findings across diverse fields like ecology and economics, leading to more robust insights into spatial patterns and their underlying processes.