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Lecture
Geoda Software: Geospatial Data Analysis
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Related lectures (32)
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Spatial Discrete Variables, Spatial Arrangement and Neighborhood
Covers spatial arrangement, neighborhood, and statistical measures for analyzing spatial patterns in geographic information systems.
Spatial Statistics: Moran's I
Explores Moran's I, a measure of spatial autocorrelation used in spatial analysis and statistics.
Derived variables: thematic applications
Explores thematic variables derived from digital altitude models for various applications.
Introduction to QGIS
Covers the basics of QGIS, including project management, data manipulation, and map production.
Mood disorders and urban environment
Delves into the relationships between mood disorders, cognitive performance, and brain plasticity in urban environments, using data from medical cohorts.
Geospatial Analysis with GeoDa
Covers the GeoDa software for geospatial analysis, including data management and exploratory spatial data analysis.
John Snow Spatial Investigations
Explores John Snow's spatial investigations of cholera outbreaks, challenging prevailing beliefs and revolutionizing epidemiology.
Components and Functions of Maps
Covers thematic cartography, visual variables, map production, and interactive mapping.
Map Components and Functions
Covers the concept of cartography, thematic maps, and map components.
Digitization of Vector Objects
Covers the digitization of vector objects in GIS, including creation, editing, and topology management.
