Teaching spatial data science

Spatial data science is an emerging field building on geographic information science, geography, and data science. Here we first discuss the definition and history of the field, arguing that it indeed warrants a new label. Then, we present the design of our course Geospatial Data Science at IT University of Copenhagen and discuss the importance of teaching not just spatial data science tools but also spatial and critical thinking. We conclude with a perspective on the potential future for spatial data science, arguing that qualitative theory and methods will continue to play an important role despite new GeoAI-related advances.

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Publication Details

Journal
Geoforum Perspektiv
Published
2024-12-19
DOI
https://doi.org/10.54337/ojs.perspektiv.v23i44.8383
Primary Topic
Geographic Information Systems Studies
Type
article
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Teaching spatial data science

Michael Szell, Ane Rahbek Vierø
Geoforum Perspektiv
Geographic Information Systems Studies
article

Teaching spatial data science

Michael Szell, Ane Rahbek Vierø
article en

Abstract

Spatial data science is an emerging field building on geographic information science, geography, and data science. Here we first discuss the definition and history of the field, arguing that it indeed warrants a new label. Then, we present the design of our course Geospatial Data Science at IT University of Copenhagen and discuss the importance of teaching not just spatial data science tools but also spatial and critical thinking. We conclude with a perspective on the potential future for spatial data science, arguing that qualitative theory and methods will continue to play an important role despite new GeoAI-related advances.

Geoforum PerspektivVol. 23(44)
IT University of Copenhagen (DK)
Openalex Percentile: Top 61%
Geographic Information Systems Studies
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