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Introduces Geographically Weighted Regression, a spatially explicit approach to measure relationships between variables with location-specific outputs.
Explores maximal correlation in information theory, mutual information properties, Renyi's measures, and mathematical foundations of information theory.
Explores the concept of limits of functions of several variables and methods for calculation, including criteria based on convergent sequences and the 'two gendarmes' theorem.
