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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.
Digital Elevation Models: Basic Concepts
Covers methods for sampling elevation and measuring elevation using leveling, photogrammetry, and LiDAR in Geographic Information Systems.
Digital Elevation Models: Basic Elements
Covers digital elevation models, altitude acquisition methods, representation techniques, and relief visualization using shading and contour lines.
Thematic attributes and classification
Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.
Derived Variables 2: Applications and Analysis
Covers thematic variables derived from DEMs and their applications in GIS.
Statistical Thematic Mapping: Practical Approaches and Techniques
Covers the practical aspects of creating statistical thematic maps and the necessary concepts for effective data representation.
Basic concepts: digital elevation model
Discusses the important role of relief in spatial analysis.
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.
Spatial Phenomena: Isovalues
Covers isovalue curves in geographic information systems and their creation using QGIS.
