📄️ 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.
📄️ Introduction to Spatial Distribution in Economic Geography
An exploration of spatial distribution patterns in Economic Geography, focusing on correlation structures and methodologies.
📄️ Related Works
An exploration of similarity measures in various fields, highlighting their applications and impacts across disciplines.
📄️ Focus of This Paper: Areas as Side Categories
Explore the implications of using geographical units as side categories in spatial analysis, examining various methodologies and challenges.
📄️ Data and Methods
An exploration of the data and methods used in analyzing economic activities across the contiguous United States, focusing on the County Business Patterns datasets.
📄️ The Similarity Measures
Explore various similarity measures such as Pearson correlation, cosine similarity, and covariance to understand relationships within data matrices.
📄️ The Possible Sets of Categories and Data Transformations
Explore the categorization and transformation of empirical data, focusing on the implications of different methods on study outcomes.
📄️ Similarity Measures in US Counties
Explore the correspondence of various similarity measures in employment and establishment data across US counties.
📄️ Similarity Measures in US Counties
Explore Pearson correlation and cosine similarity as key measures for analyzing employment levels and establishment numbers across US counties.
📄️ Matching Discrete to Continuous Coexistence Measures
Explore conditions for matching coexistence measures in continuous space with discrete areal data, addressing the Modifiable Area Unit Problem (MAUP).
📄️ Cosine Similarity Between Industries
Explore the mathematical formulation of cosine similarity between industries using areal employment data, and compare discrete and continuous approaches.
📄️ Normalizations and Industry Self-Overlap
Explore the normalization techniques in industry coexistence and the solution for industry self-overlap, incorporating Gaussian and Laplace density functions.
📄️ Solution for Cross Industry Overlap
Explore the spatial coexistence of industries using computational experiments to address challenges in continuous space modeling.
📄️ Distance Decay of Coexistence Measures
Analyzing the decay of coexistence measures with distance, using cosine similarity and density function overlap in various contexts.
📄️ Application: Correlation Structure in US Industries and Regions
Explore the correlation structure of industries and regions in the United States, revealing geographical patterns and industry spaces.
📄️ Interpretation of the Correlation Matrix
A detailed exploration of methods for analyzing correlation matrices, including eigenvalue decomposition and community detection in economic geography.
📄️ Results: Network of Industries
An analysis of the network structure of industries using NAICS 4-digit data, highlighting community detection and wage levels.
📄️ Results: Geographical Patterns
An analysis of geographical patterns in industry location, exploring themes like population, cities, land uses, and manufacturing.
📄️ Population and Cities Scaling
Explore the relationship between population distribution and the scaling of activities in urban and rural settings, focusing on consumer goods and complex city activities.
📄️ Large City Economies
Explore the distribution and activities of large city economies with a focus on software, finance, and high-wage sectors.
📄️ Land Uses
Explore the spatial patterns of land uses related to natural resources, including agriculture, water economy, fuels, mining, and forestry.
📄️ Manufacturing and Industrial Location
Explore the factors influencing industrial location decisions, focusing on externalities and historical paths, with examples from the steel and textile industries.
📄️ Conclusion
A comprehensive analysis of correlation structures in economic geography, exploring techniques and their implications.