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Lecture
Altitude Models and Derived Variables
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Geospatial Analysis: Derived Variables
Covers derived thematic variables from digital elevation models for geospatial analysis.
Derived Variables 2: Applications and Analysis
Covers thematic variables derived from DEMs and their applications in GIS.
Derived variables: thematic applications
Explores thematic variables derived from digital altitude models for various applications.
Discrete Variables, Geometric Properties
Covers discrete variables in geographic information systems and their geometric properties, including spatial arrangement and autocorrelation.
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.
Altitude Models and Derivative Variables
Covers geographic information systems, relief indicators, and digital elevation models.
Discrete variables: Geometric properties
Covers geometric properties of discrete variables in GIS, including location, size, and shape.
Spatial Phenomena: Isovalues
Covers isovalue curves in geographic information systems and their creation using QGIS.
Spatial Autocorrelation and Dependence
Covers spatial autocorrelation, dependence in GIS, and biases in classical statistics.