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Lecture
Spatial Arrangement and Neighborhood of Discrete Variables
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Related lectures (32)
Discrete variables: Geometric properties
Covers geometric properties of discrete variables in GIS, including location, size, and shape.
Spatial Discrete Variables, Spatial Arrangement and Neighborhood
Covers spatial arrangement, neighborhood, and statistical measures for analyzing spatial patterns in geographic information systems.
Vector-Vector Data Layer Interactions
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Land modeling: Numeric representation of the land
Covers numeric representation techniques, data acquisition, geographic space, discrete and continuous phenomena in land modeling.
Spatial Geometric Queries
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Vector-Vector Integration: Methods and Tools
Explores methods and tools for integrating vector layers in QGIS, including SQL queries and boolean operators.
Vector mode and image mode
Covers observation units in GIS, focusing on vector and image modes.
Spatial Autocorrelation: An Introduction to GIS
Covers spatial autocorrelation in GIS, including global autocorrelation, weighting schemes, Moran's I, and contiguity ratio.
Geometric spatial queries
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Vector and Image Modes
Covers spatial elements, observation units, and thematic dimensions in geographic information systems.
Topological spatial queries
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Spatial Phenomena: Isovalues
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Georeferencing of Images
Covers the principles and practice of georeferencing images using various formats and software tools like QGIS.
Thematic attributes and classification
Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.
Raster - Vector Integration
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Geographic Information Systems: Urban Morphology and Modeling
By Prof. François Golay explores GIS, urban morphology, challenges of Digital Twins, data-driven analytics, and LASIG's contributions.
Vector-Vector Interactions
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Spatial Autocorrelation: Moran's I
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Digital Elevation Models: Basic Elements
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