Thematic Attributes and Classification

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Related lectures (31)

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Covers thematic attributes, classification, data representation, and discretization methods in geographic information systems.

Thematic attributes and classification

Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.

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.

Vectorworks Educational Version

Introduces Vectorworks Educational Version for architectural drawings, covering tools, layers, and annotations.

Statistical Thematic Mapping: Practical Approaches and Techniques

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

Components and Functions of the Map

Covers the components and functions of thematic mapping, including visual variables, map production, and interactive mapping.

Vector-Vector Data Layer Interactions

Covers interactions between vector layers in GIS, including geometric properties, spatial arrangement, autocorrelation, altitude models, and SQL equivalents.

Thematic Attributes and Classification

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

Map Components and Functions

Covers the concept of cartography, thematic maps, and map components.

Gaussian Mixture Models: Data Classification

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.