Introduction: ESDA in environmental health

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

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

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

Covers the GeoDa software for geospatial data analysis and thematic mapping.

Delves into the importance of understanding thought processes in data science tasks.

Introduces geomatics with a focus on diversity and inclusion in engineering, emphasizing practical work and collaboration for spatial analysis.

Covers the practical aspects of creating statistical thematic maps and the necessary concepts for effective data representation.

Introduces the GeoDa software for exploratory geospatial data analysis.

Explores methods and tools for integrating vector layers in QGIS, including SQL queries and boolean operators.

Explores John Snow's spatial investigations of cholera outbreaks, challenging prevailing beliefs and revolutionizing epidemiology.