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MOOC

Geographical Information Systems 2

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Lectures in this MOOC (97)

Derived Variables 2: Applications and Analysis MOOC: Geographical Information Systems 2

Covers thematic variables derived from DEMs and their applications in GIS.

Analysis of Geographic Information: GeoDa MOOC: Geographical Information Systems 2

Covers the GeoDa software for creating maps and analyzing spatial data, including statistical graphs and spatial statistics.

Interpolation: Global vs. Local Methods MOOC: Geographical Information Systems 2

Covers interpolation in GIS, focusing on global vs. local methods.

Spatial Discrete Variables, Spatial Arrangement and Neighborhood MOOC: Geographical Information Systems 2

Covers spatial arrangement, neighborhood, and statistical measures for analyzing spatial patterns in geographic information systems.

Discrete Variables, Geometric Properties MOOC: Geographical Information Systems 2

Covers discrete variables in geographic information systems and their geometric properties, including spatial arrangement and autocorrelation.

Spatial Phenomena: Isovalues MOOC: Geographical Information Systems 2

Covers continuous spatial phenomena and isovalues in geographic information systems, including interpolation methods and examples of isovalues curves for various environmental factors.

Digital Elevation Models: Basic Elements MOOC: Geographical Information Systems 2

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

Map Design: Labeling and Production MOOC: Geographical Information Systems 2

Explores map design principles, emphasizing labeling and production techniques for effective communication of geographical information.

Case Study: Flood Risk in Niamey MOOC: Geographical Information Systems 2

Delves into the spatial evaluation of flood risk in Niamey, covering challenges, impacts, and risk management measures.

Spatial Autocorrelation and Dependence MOOC: Geographical Information Systems 2

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

Interpolation 2: Kriging MOOC: Geographical Information Systems 2

Introduces the geostatistical concept of regionalized variables and the kriging procedure for spatial interpolation.

The third dimension: Representing Relief MOOC: Geographical Information Systems 2

Explores representing relief in GIS through 3D models and the Qgis2threejs plugin.

Altitude Models and Derived Variables MOOC: Geographical Information Systems 2

Covers geographic information systems, digital elevation models, derived variables, visibility analysis, shadow casting, solar radiation, drainage lines, and flood zones.

Raster - Raster MOOC: Geographical Information Systems 2

Covers raster-raster integration, map algebra, NDVI calculation, and terrain analysis using relational and logical operators.

Isovalues: Introduction to Geographic Information Systems MOOC: Geographical Information Systems 2

Introduces isolines and demonstrates their creation in QGIS.

Raster-Raster Interactions MOOC: Geographical Information Systems 2

Explores algebraic operations and NDVI calculation in raster data analysis using QGIS tools.

Spatial Phenomena: Interpolation 1 MOOC: Geographical Information Systems 2

Covers global and local interpolation methods in geographic information systems.

Sampling: Continuous Spatial Phenomena MOOC: Geographical Information Systems 2

Covers different spatial sampling procedures and properties in Geographic Information Systems.

Flood Risk in Niamey MOOC: Geographical Information Systems 2

Explores flood risk assessment in Niamey using GIS and discusses control measures.

Raster - Vector Integration MOOC: Geographical Information Systems 2

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

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