Systèmes d’Information Géographique - Partie 2

This module delves into the analysis of spatial discontinuous phenomena, including the exploration of properties and arrangement of discrete variables, assessment of spatial autocorrelation, and the utilization of specific indices for shape and global spatial autocorrelation. Participants will gain a comprehensive understanding of these key concepts through practical demonstrations and exercises.

Participants will explore techniques for analyzing spatially continuous phenomena, including sampling methods, interpolation techniques, and the construction of isovalue curves. Real-world case studies will illustrate the practical application of these methods, enabling learners to develop essential skills in spatial analysis and representation.

This module focuses on the fundamentals of digital elevation models, covering basic elements and derived variables. Participants will also gain insights into lidar technology and its application in geospatial analysis. Practical exercises will reinforce the theoretical knowledge, ensuring participants can effectively utilize digital elevation models in their spatial analyses.

The interaction between different data layers is the core focus of this module, encompassing the overlay of raster and vector data, as well as vector-to-vector and raster-to-raster interactions. Through a real-world case study on flood risk in Niamey, participants will gain practical experience in applying these techniques to address complex geospatial challenges.

This module explores the principles of cartographic design and thematic mapping, covering the components and functions of maps, visual variables, thematic attributes, and cartographic production. Participants will develop the skills to create visually compelling and informative maps that effectively communicate georeferenced information.

In this module, participants will discover alternative forms of spatial representation, including dynamic and interactive web mapping, 3D representations, and augmented reality. Practical demonstrations and case studies will provide insights into the application of these innovative spatial representation techniques, preparing participants to engage with emerging trends in geospatial technology.