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Lecture
Geospatial Data Analysis: GeoDa Software
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Related lectures (32)
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Online Cartography: Geomatics Elements
Introduces online cartography and geomatics elements for creating thematic maps and spatial analysis.
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.
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.
Components and Functions of the Map
Covers the components and functions of thematic mapping, including visual variables, map production, and interactive mapping.
Digital Urban History: QGIS Practical Session
Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.
Analysis of Geographic Information: GeoDa
Covers the GeoDa software for creating maps and analyzing spatial data, including statistical graphs and spatial statistics.
Probability and Statistics
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Statistical Thematic Mapping: Practical Approaches and Techniques
Covers the practical aspects of creating statistical thematic maps and the necessary concepts for effective data representation.
Understanding Preference Elicitation
Explores preference elicitation, latent variables, and the impact of external events on decision-making.
