Lectures related to Thematic map

Thematic attributes and classification

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

Components and Functions of the Map

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

Components and Functions of Maps

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

Visual Variables

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

Thematic Mapping and Graphic Semiology: Cartographic Design

Covers thematic mapping, graphic design elements, map aesthetics, and economic context visualization using QGIS software.

Thematic attributes and classification

Covers the creation of thematic maps and the class setting in statistical thematic mapping.

Thematic Attributes and Classification

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

Mapping Components and Functions

Introduces thematic statistical cartography, covering map components, functions, and production process.

Thematic Attributes and Classification

Covers thematic attributes, classification, and data discretization in thematic cartography using QGIS for proportional symbol mapping.

Thematic Attributes and Classification

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

Thematic Attributes and Classification

Covers the basics of thematic mapping and the importance of classification.

Thematic Maps: Components and Functions

Covers thematic maps' components, functions, and creation process in geographic information systems.

Derived variables: thematic applications

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

Statistical Thematic Mapping: Practical Approaches and Techniques

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

The Third Dimension: Geographic Information Systems

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

Map Design: Labeling and Production

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

Analysis of Geographic Information: GeoDa

Covers the main functions of the GeoDa software for exploratory analysis.

Active Map Building: Exploration

Explores the basics of Simultaneous Localization and Mapping (SLAM), focusing on map creation techniques and prediction of measurements.

Geospatial Data Analysis: GeoDa Software

Introduces the GeoDa software for exploratory geospatial data analysis.

Geospatial Analysis with GeoDa

Covers the GeoDa software for geospatial analysis, including data management and exploratory spatial data analysis.