Metadata: Introduction to Geographic Information Systems

Related lectures (32)

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Covers the importance of metadata in geographic information systems, focusing on standards and principles.

Highlights the importance of metadata in describing datasets for geographic information systems.

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

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

Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.

Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.

Introduces Google Earth Engine, focusing on its capabilities for geospatial analysis and environmental monitoring.

Covers primary data acquisition methods in GIS, including positioning and thematic data techniques.

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

By Prof. François Golay explores GIS, urban morphology, challenges of Digital Twins, data-driven analytics, and LASIG's contributions.