MOOC

Geographical Information Systems 2

Description

The second part of the course deals with spatial analysis methods and georeferenced information representation techniques. In particular, you will learn how to:

Analyze the spatial properties of discrete variables, for example by quantifying spatial autocorrelation;
Work with continuous variables (sampling, interpolation and construction of isolines)
Use digital elevation models (DEMs) and their derivatives (slope, orientation, etc.);
Use geodata superposition techniques;
Produce cartographic documents according to the rules of the semiology of graphics;
Explore other forms of spatial representation (interactive cartography on the internet, 3D representations, and augmented reality).

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Description

The second part of the course deals with spatial analysis methods and georeferenced information representation techniques. In particular, you will learn how to:

Analyze the spatial properties of discrete variables, for example by quantifying spatial autocorrelation;
Work with continuous variables (sampling, interpolation and construction of isolines)
Use digital elevation models (DEMs) and their derivatives (slope, orientation, etc.);
Use geodata superposition techniques;
Produce cartographic documents according to the rules of the semiology of graphics;
Explore other forms of spatial representation (interactive cartography on the internet, 3D representations, and augmented reality).

Instructor

Stéphane Joost

Expertise Geographic Information Science and spatial statisticsMolecular ecology, Landscape genomics, Seascape genomicsSpatial epidemiology, Health geographics Publications Publications- List of publications Teaching & PhD PhD Students Marco André Vieira Ruas, Manon Laetitia Pribille, Martine Valérie Besse Past EPFL PhD Students Estelle Rochat, Solange Catherine Gaillard, Oliver Michele Selmoni, Anaïs Ladoy, Annie Sandrine Guillaume Past EPFL PhD Students as codirector Sylvie Stucki, Kevin Leempoel, Martí

About this result

Lectures in this MOOC (97)

Thematic Attributes and Classification MOOC: Geographical Information Systems 2

Covers thematic attributes, classification, and data discretization in thematic cartography using QGIS for proportional symbol mapping.

Dynamic and interactive Web-based mapping MOOC: Geographical Information Systems 2

Covers Dynamic and Interactive Web-based Cartography, focusing on GIS principles, client-server architecture, HTML, CSS, JavaScript, and open-source libraries.

Visual Variables in Cartography MOOC: Geographical Information Systems 2

Introduces visual variables in cartography, emphasizing simplicity and color perception for effective map design.

Thematic attributes and classification MOOC: Geographical Information Systems 2

Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.

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.