Abstract - Cooccurrence Measures in Economic Geography
Explore the unification of similarity techniques in economic geography using cooccurrence measures from cross-sectional data, focusing on spatial patterns and locational correlations.
Explore the unification of similarity techniques in economic geography using cooccurrence measures from cross-sectional data, focusing on spatial patterns and locational correlations.
Analyzing the decay of coexistence measures with distance, using cosine similarity and density function overlap in various contexts.
Explore the implications of using geographical units as side categories in spatial analysis, examining various methodologies and challenges.
An exploration of spatial distribution patterns in Economic Geography, focusing on correlation structures and methodologies.
Explore conditions for matching coexistence measures in continuous space with discrete areal data, addressing the Modifiable Area Unit Problem (MAUP).
An analysis of geographical patterns in industry location, exploring themes like population, cities, land uses, and manufacturing.
Explore the spatial coexistence of industries using computational experiments to address challenges in continuous space modeling.