Data and coherence theories of truth:  Examples from a data-driven Geographical Information Science

F._B. Mocnik

doi:10.5194/agile-giss-4-33-2023

Data and coherence theories of truth: Examples from a data-driven Geographical Information Science

F._B. Mocnik^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

The validity of information collections can be verified by their coherence, such as in the case of Volunteered Geographic Information. However, corresponding coherence theories of truth do not readily apply to collections of data if these consist of non-interpreted or virtually non-interpretable symbols, as is often the case with machine learning models and other black box systems. This paper argues why data-driven geography requires coherence theories, to then transfer the concept of coherence theories from the information to the data level. Finally, the relevant implications on the interpretation of data, especially in the context of black box systems and machine learning, are discussed.

Original language	English
Title of host publication	26th AGILE Conference on Geographic Information Science
Subtitle of host publication	Spatial data for design
Editors	P. van Oosterom, H. Ploeger, A. Mansourian, S. Scheider, R. Lemmens, B. van Loenen
Publisher	Copernicus
Pages	1-5
Volume	4
DOIs	https://doi.org/10.5194/agile-giss-4-33-2023
Publication status	Published - 6 Jun 2023
Event	26th AGILE Conference on Geographic Information Science, AGILE 2023: Spatial data for design - Delft, Netherlands Duration: 13 Jun 2023 → 16 Jun 2023 Conference number: 26 https://agile-online.org/conference-2023

Publication series

Name	AGILE: GIScience Series
Publisher	Copernicus

Conference

Conference	26th AGILE Conference on Geographic Information Science, AGILE 2023
Abbreviated title	AGILE 2023
Country/Territory	Netherlands
City	Delft
Period	13/06/23 → 16/06/23
Internet address	https://agile-online.org/conference-2023

Access to Document

10.5194/agile-giss-4-33-2023Licence: CC BY

agile-giss-4-33-2023Final published version, 730 KBLicence: CC BY

Cite this

Mocnik, F. B. (2023). Data and coherence theories of truth: Examples from a data-driven Geographical Information Science. In P. van Oosterom, H. Ploeger, A. Mansourian, S. Scheider, R. Lemmens, & B. van Loenen (Eds.), 26th AGILE Conference on Geographic Information Science: Spatial data for design (Vol. 4, pp. 1-5). (AGILE: GIScience Series). Copernicus. https://doi.org/10.5194/agile-giss-4-33-2023

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abstract = "The validity of information collections can be verified by their coherence, such as in the case of Volunteered Geographic Information. However, corresponding coherence theories of truth do not readily apply to collections of data if these consist of non-interpreted or virtually non-interpretable symbols, as is often the case with machine learning models and other black box systems. This paper argues why data-driven geography requires coherence theories, to then transfer the concept of coherence theories from the information to the data level. Finally, the relevant implications on the interpretation of data, especially in the context of black box systems and machine learning, are discussed.",

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note = "26th AGILE Conference on Geographic Information Science, AGILE 2023 : Spatial data for design, AGILE 2023 ; Conference date: 13-06-2023 Through 16-06-2023",

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Mocnik, FB 2023, Data and coherence theories of truth: Examples from a data-driven Geographical Information Science. in P van Oosterom, H Ploeger, A Mansourian, S Scheider, R Lemmens & B van Loenen (eds), 26th AGILE Conference on Geographic Information Science: Spatial data for design. vol. 4, AGILE: GIScience Series, Copernicus, pp. 1-5, 26th AGILE Conference on Geographic Information Science, AGILE 2023, Delft, Netherlands, 13/06/23. https://doi.org/10.5194/agile-giss-4-33-2023

Data and coherence theories of truth: Examples from a data-driven Geographical Information Science. / Mocnik, F._B.
26th AGILE Conference on Geographic Information Science: Spatial data for design. ed. / P. van Oosterom; H. Ploeger; A. Mansourian; S. Scheider; R. Lemmens; B. van Loenen. Vol. 4 Copernicus, 2023. p. 1-5 (AGILE: GIScience Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Mocnik FB. Data and coherence theories of truth: Examples from a data-driven Geographical Information Science. In van Oosterom P, Ploeger H, Mansourian A, Scheider S, Lemmens R, van Loenen B, editors, 26th AGILE Conference on Geographic Information Science: Spatial data for design. Vol. 4. Copernicus. 2023. p. 1-5. (AGILE: GIScience Series). doi: 10.5194/agile-giss-4-33-2023