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 Univ...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | Danish |
Published: |
Aalborg University Open Publishing
2024-12-01
|
Series: | Geoforum Perspektiv |
Online Access: | https://discurso.aau.dk/index.php/gfp/article/view/8383 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 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.
|
---|---|
ISSN: | 1601-8796 2245-8433 |