Adrijana CAR - Josef STROBL - Robert VOGLER - Gerald GRIESEBNER (Eds.)


GI_Forum 2023, Volume 11, Issue 1




ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9443-9
Online Edition
doi:10.1553/giscience2023_01_
GI_Forum 2023,  Volume 11,  Issue 1 
 
Open access


Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

“GI_Forum” publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain. “GI_Forum” implements the policy of open access publication (CC-BY-ND-License) after a double-blind peer review process through a highly international team of established scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions.

The 2023-1 Issue comprises work of researchers from different disciplines, most of whom presented their work at the GI_Salzburg 2023 conference (https://gi-salzburg.org/en/). The articles address diverse collections of spatiotemporal data such as multispectral LIDAR, SAR or biology-related datasets, and advanced concepts, methods and tools applied for their analysis like OBIA or Google Earth Engine. Applications range from natural resources management, natural phenomena and hazards to green spaces, urban place perception, mobility, and infrastructure. The impact of ChatGPT on teaching and learning GIScience based on an anecdotal approach contributes to the overall discourse in the scientific and educational community respectively.

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GI_Forum 2023, Volume 11, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9443-9
Online Edition



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Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
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doi:10.1553/giscience2023_01_s3



doi:10.1553/giscience2023_01_s3



Thema: geography
Adrijana CAR - Josef STROBL - Robert VOGLER - Gerald GRIESEBNER (Eds.)


GI_Forum 2023, Volume 11, Issue 1




ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9443-9
Online Edition
doi:10.1553/giscience2023_01_
GI_Forum 2023,  Volume 11,  Issue 1 
 
Open access


Kristin Stock, Kalana Wijegunarathna, Christopher B. Jones, Hone Morris, Pragyan Das, David Medyckyj-Scott, Brandon Whitehead
PDF Icon  The BioWhere Project: Unlocking the Potential of Biological Collections Data ()
S.  3 - 21
doi:10.1553/giscience2023_01_s3

Open access

Verlag der Österreichischen Akademie der Wissenschaften


doi:10.1553/giscience2023_01_s3
Abstract:
Vast numbers of biological specimens (e.g. flora, fauna, soils) are stored in collections globally. Many of these have only a natural-language location description, such as ‘200ft above and south of main highway, 1.1 miles west of Porters Pass’, and numerical coordinates are unknown. The BioWhere project is pioneering methods to automatically determine the geographic coordinates (georeferences) of complex location descriptions. Particular challenges are posed by the variable accuracy of recent and historical data that might be used to train models to predict geographic coordinates from the natural-language descriptions; by the presence of historical place names in the descriptions that are not stored in existing gazetteers; and by the vague and context-sensitive nature (e.g. above, on, south of) of the descriptions. We are addressing these challenges by extending the latest transformer-based deep learning models to parse locality descriptions, and to build models for specific spatial terms that incorporate geographic context and data quality to more accurately predict georeferences. We also describe a gazetteer that contains enriched cultural content to support georeferencing of historical records, and to serve as a store of New Zealand Māori cultural knowledge for future generations.

Keywords:  georeferencing, biological collections, machine learning, gazetteers
  2023/06/27 06:33:37
Object Identifier:  0xc1aa5576 0x003e5556
https://creativecommons.org/licenses/by-nd/4.0/

“GI_Forum” publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain. “GI_Forum” implements the policy of open access publication (CC-BY-ND-License) after a double-blind peer review process through a highly international team of established scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions.

The 2023-1 Issue comprises work of researchers from different disciplines, most of whom presented their work at the GI_Salzburg 2023 conference (https://gi-salzburg.org/en/). The articles address diverse collections of spatiotemporal data such as multispectral LIDAR, SAR or biology-related datasets, and advanced concepts, methods and tools applied for their analysis like OBIA or Google Earth Engine. Applications range from natural resources management, natural phenomena and hazards to green spaces, urban place perception, mobility, and infrastructure. The impact of ChatGPT on teaching and learning GIScience based on an anecdotal approach contributes to the overall discourse in the scientific and educational community respectively.



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at