Spatial Phenomena: Interpolation 2

Related lectures (32)

Page 3 of 4

Covers the integration of raster and vector data in GIS using QGIS.

Introduces isolines and demonstrates their creation in QGIS.

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

Covers digital elevation models, altitude acquisition methods, representation techniques, and relief visualization using shading and contour lines.

Covers geostatistics, focusing on spatial data types and their analysis methods.

Covers GIS, vector and raster data, spatial analysis, and coordinate systems.

Covers methods for sampling elevation and measuring elevation using leveling, photogrammetry, and LiDAR in Geographic Information Systems.

Covers spatial autocorrelation, spatial dependence, biases in classical statistics, and limitations of statistical tools in geography.

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

Covers spatial autocorrelation in GIS, including global autocorrelation, weighting schemes, Moran's I, and contiguity ratio.