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Inferring the history of spatial diffusion processes (Short Paper)


Takahashi, Takuya; Hannes, Geneviève; Neureiter, Nico; Ranacher, Peter (2023). Inferring the history of spatial diffusion processes (Short Paper). In: 12th International Conference on Geographic Information Science (GIScience 2023), Leeds (UK), 23 September 0012 - 23 September 0015. Schloss Dagstuhl, 71:1-71:6.

Abstract

When studying the spatial diffusion of a phenomenon, we often know its geographic distribution at one or more snapshots in time, while the complete history of the diffusion process is unknown. For example, we know when and where the first Indo-European languages arrived in South America and their current distribution. However, we do not know the history of how these languages spread, displacing the indigenous languages from their original habitat. We present a Bayesian model to interpolate the history of a diffusion process between two points in time with known geographical distributions. We apply the model to recover the spread of the Indo-European languages in South America and infer a posterior distribution of possible evolutionary histories of how they expanded their areas since the time of the first invasion by Europeans. Our model is more generally applicable to infer the evolutionary history of geographic diffusion phenomena from incomplete data.

Abstract

When studying the spatial diffusion of a phenomenon, we often know its geographic distribution at one or more snapshots in time, while the complete history of the diffusion process is unknown. For example, we know when and where the first Indo-European languages arrived in South America and their current distribution. However, we do not know the history of how these languages spread, displacing the indigenous languages from their original habitat. We present a Bayesian model to interpolate the history of a diffusion process between two points in time with known geographical distributions. We apply the model to recover the spread of the Indo-European languages in South America and infer a posterior distribution of possible evolutionary histories of how they expanded their areas since the time of the first invasion by Europeans. Our model is more generally applicable to infer the evolutionary history of geographic diffusion phenomena from incomplete data.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Software
Language:English
Event End Date:23 September 0015
Deposited On:09 Nov 2023 13:04
Last Modified:10 Nov 2023 21:00
Publisher:Schloss Dagstuhl
Series Name:LIPIcs : Leibniz International Proceedings in Informatics
Number:71
ISSN:1868-8969
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.4230/LIPIcs.GIScience.2023.71
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)