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Lecture
Spatial Continuous Phenomena, Sampling
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Related lectures (31)
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Spatial Sampling: Concepts and Techniques
Covers spatial sampling in GIS, including autocorrelation, elevation models, and interpolation methods.
Vector-Vector Interactions
Covers interactions between vector layers in GIS using QGIS tools.
Altitude Models: Derivative Variables
Covers global relief indicators, altitude models, slope, orientation, curvature, and morphological indices for terrain description.
Altitude Models and Derivative Variables
Covers geographic information systems, relief indicators, and digital elevation models.
Digital Elevation Models: Basic Concepts
Covers methods for sampling elevation and measuring elevation using leveling, photogrammetry, and LiDAR in Geographic Information Systems.
Spatial Dependence: Autocorrelation and Analysis
Introduces spatial dependence, the paradox of classical statistics, and the bias in linear regression.
Sampling: Continuous Spatial Phenomena
Covers different spatial sampling procedures and properties in Geographic Information Systems.
Discrete variables: Geometric properties
Covers geometric properties of discrete variables in GIS, including location, size, and shape.
Interactions between Data Layers: Raster-Vecteur
Covers interactions between raster and vector data layers in GIS using QGIS tools.
Spatial Phenomena: Interpolation 2
Explores geostatistics, variograms, kriging, and spatial interpolation techniques in geographical information analysis.