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...
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| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | Danish |
| Published: |
Aalborg University Open Publishing
2024-12-01
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| Series: | Geoforum Perspektiv |
| Online Access: | https://discurso.aau.dk/index.php/gfp/article/view/8383 |
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| _version_ | 1832577716199620608 |
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| author | Ane Rahbek Vierø Michael Szell |
| author_facet | Ane Rahbek Vierø Michael Szell |
| author_sort | Ane Rahbek Vierø |
| collection | DOAJ |
| description |
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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| format | Article |
| id | doaj-art-045133a0027e4c19be6cb1354b9e5454 |
| institution | Kabale University |
| issn | 1601-8796 2245-8433 |
| language | Danish |
| publishDate | 2024-12-01 |
| publisher | Aalborg University Open Publishing |
| record_format | Article |
| series | Geoforum Perspektiv |
| spelling | doaj-art-045133a0027e4c19be6cb1354b9e54542025-01-30T16:46:47ZdanAalborg University Open PublishingGeoforum Perspektiv1601-87962245-84332024-12-01234410.54337/ojs.perspektiv.v23i44.8383Teaching spatial data scienceAne Rahbek Vierø0https://orcid.org/0000-0002-2404-7271Michael Szell1https://orcid.org/0000-0003-3022-2483IT Universitet i KøbenhavnIT Universitet i København 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. https://discurso.aau.dk/index.php/gfp/article/view/8383 |
| spellingShingle | Ane Rahbek Vierø Michael Szell Teaching spatial data science Geoforum Perspektiv |
| title | Teaching spatial data science |
| title_full | Teaching spatial data science |
| title_fullStr | Teaching spatial data science |
| title_full_unstemmed | Teaching spatial data science |
| title_short | Teaching spatial data science |
| title_sort | teaching spatial data science |
| url | https://discurso.aau.dk/index.php/gfp/article/view/8383 |
| work_keys_str_mv | AT anerahbekvierø teachingspatialdatascience AT michaelszell teachingspatialdatascience |