Lectures related to Geovisualization

Introduction: ESDA in environmental health

Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.

Spatial Continuous Phenomena, Isovalues (summary)

Covers isovalue curves for visualizing terrain and meteorological data through linear interpolation and QGIS software.

Future prospects, GIS and augmented reality

Explores the future prospects of GIS and AR, emphasizing their significance.

Geographic Information Systems: Data Acquisition and Representation

Explores Geographic Information Systems, covering data acquisition, representation, and visualization of geodata.

Collaborative Data Science

Covers collaborative data science tools, big data concepts, Spark, and data stream processing, with tips for the final project.

Perspectives: SIG and Augmented Reality

Explores augmented reality technology and its integration with Geographic Information Systems.

3D Representation: Geographic Information Systems

Covers thematic mapping, visual variables, and 3D modeling in Geographic Information Systems.

Thematic attributes and classification

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

Dynamic and Interactive Cartography on the Web

Covers dynamic and interactive cartography on the web, exploring Web GIS, client-server architectures, HTML, CSS, JavaScript, and open-source GIS libraries.

Google Earth Engine: Analyzing Geospatial Data

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

Persona Construction and User Interface Design

Covers the construction of personas for user interface design improvements.

Dynamic and Interactive Internet Cartography

Covers dynamic internet cartography, exploring Web GIS, client-server architectures, HTML, CSS, JavaScript, and open-source GIS libraries.

Data Visualization Techniques: Applications and Principles

Discusses data visualization techniques, emphasizing their applications and principles for effective communication of complex information.

Collaborative Data Science: Tools and Techniques

Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.