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Lecture
Analysis of Geographic Information: GeoDa
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Related lectures (32)
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Spatial Dependence: Autocorrelation and Analysis
Introduces spatial dependence, the paradox of classical statistics, and the bias in linear regression.
Autocorrelation and Spatial Dependence
Covers autocorrelation, spatial dependence, and modeling challenges in GIS, emphasizing the importance of historical data and statistical methods.
Spatial Autocorrelation: Moran's I
Explores Moran's I for assessing spatial clustering in geographical data using precipitation as an example.
Thematic attributes and classification
Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.
Map Components and Functions
Covers the concept of cartography, thematic maps, and map components.
Components and Functions of Maps
Covers thematic cartography, visual variables, map production, and interactive mapping.
Interpolation: Spatial Phenomena and Methods
Covers global and local deterministic interpolation methods in geographic information systems, discussing expert knowledge, method selection, and uncertainty estimation.
Spatial Dependence: Concepts and Analysis
Explores spatial dependence, spatial autocorrelation, and bias in statistical analysis due to spatial relationships.
Thematic Attributes and Classification
Covers thematic attributes, classification, data representation, and discretization methods in geographic information systems.
Introduction: organization and requirements
Covers course organization, spatial statistics, epidemiological data analysis, and group project work.
