Thematic Attributes and Classification

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Related lectures (31)

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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.

Statistical Thematic Mapping: Practical Approaches and Techniques

Covers the practical aspects of creating statistical thematic maps and the necessary concepts for effective data representation.

Weibull Model: Random Data

Explores the Weibull model's application to random data and its significance in analyzing material strength and failure probability.

Thematic Attributes and Classification

Covers statistical thematic mapping, types of maps, discretization methods, and proportional symbols in maps.

Urban Metabolism Analysis

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.

3D Representation: Geographic Information Systems

Covers thematic mapping, visual variables, and 3D modeling in Geographic Information Systems.

Fracture Mechanics: Crack Growth and Weakest Link

Explores fracture mechanics, crack growth, and the weakest link theory, emphasizing the statistical distribution of crack sizes and the significance of the largest crack in material failure.

Discrete variables: Geometric properties

Covers geometric properties of discrete variables in GIS, including location, size, and shape.

Spatial Dependence: Autocorrelation and Analysis

Introduces spatial dependence, the paradox of classical statistics, and the bias in linear regression.

The Third Dimension: Geographic Information Systems

Explores 3D representation in Geographic Information Systems, emphasizing the importance of realistic spatial understanding and practical model construction.