Lecture

Thematic Attributes and Classification

Related lectures (31)

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.

Map Design: Labeling and Production

Explores map design principles, emphasizing labeling and production techniques for effective communication of geographical information.

Components and Functions of Maps

Covers thematic cartography, visual variables, map production, and interactive mapping.

Solar Energy Potential: Switzerland

Explores estimating solar energy potential in Switzerland using GIS data analysis and Quantum GIS software.

Online Cartography: Geomatics Elements

Introduces online cartography and geomatics elements for creating thematic maps and spatial analysis.

Visual Variables

Introduces visual variables in thematic maps and the semiology of graphics.

Logistic Regression: Probabilistic Interpretation

Covers logistic regression's probabilistic interpretation, multinomial regression, KNN, hyperparameters, and curse of dimensionality.

Urban Metabolism Analysis

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

Derived variables: thematic applications

Explores thematic variables derived from digital altitude models for various applications.

Vector-Vector Interactions

Covers interactions between vector layers in GIS using QGIS tools.

Derived Variables 2: Applications and Analysis

Covers thematic variables derived from DEMs and their applications in GIS.