Toward Cross-Scale, Multimodal Data Applications: An Exploratory Framework of Movement Model in “Sea-Channel-Island”

Abstract. Geographic Information Systems (GIS) have been widely employed to model human activities, yet their application to prehistoric maritime migration—exemplified by the Austronesian expansion from coastal Asia to Pacific Islands—remains underdeveloped. This migration shaped a distinctive seascape, and analyzing it across the land-sea boundary is critical to understanding prehistoric cultural dissemination from terrestrial to maritime contexts. However, a dedicated methodology to resolve this spatial-temporal challenge is lacking. This paper proposes an integrated framework synthesizing multi-source terrestrial/marine, spatial/textual, natural/cultural, and historical/contemporary data. Three hierarchical models are formulated through GIS least-cost analysis. The maritime-scale model reconstructs movement corridors by calculating wind-driven pathways, with feasibility validated against shipwreck distributions. The channel-scale model identifies optimal visible and landfall islands across the critical strait. The island-scale model detects human landing sites and activity zones on islands. The research introduces a novel cross-scale trans-medium framework to analyze the dynamics of oceans, straits, and islands, substantiated by case studies and historical texts. This framework deciphers land-sea movement patterns shaped by human marine activities, revealing their spatial characteristics. Furthermore, it provides insights for archaeological investigations and enables systematic interpretation of cultural implications on a macro scale.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2025-09-23
DOI
https://doi.org/10.5194/isprs-annals-x-m-2-2025-245-2025
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Toward Cross-Scale, Multimodal Data Applications: An Exploratory Framework of Movement Model in “Sea-Channel-Island”

Chai‐Hien Gan, Jie He, Hui Luo
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Geographic Information Systems Studies
article

Toward Cross-Scale, Multimodal Data Applications: An Exploratory Framework of Movement Model in “Sea-Channel-Island”

Chai‐Hien Gan, Jie He, Hui Luo
article en

Abstract

Abstract. Geographic Information Systems (GIS) have been widely employed to model human activities, yet their application to prehistoric maritime migration—exemplified by the Austronesian expansion from coastal Asia to Pacific Islands—remains underdeveloped. This migration shaped a distinctive seascape, and analyzing it across the land-sea boundary is critical to understanding prehistoric cultural dissemination from terrestrial to maritime contexts. However, a dedicated methodology to resolve this spatial-temporal challenge is lacking. This paper proposes an integrated framework synthesizing multi-source terrestrial/marine, spatial/textual, natural/cultural, and historical/contemporary data. Three hierarchical models are formulated through GIS least-cost analysis. The maritime-scale model reconstructs movement corridors by calculating wind-driven pathways, with feasibility validated against shipwreck distributions. The channel-scale model identifies optimal visible and landfall islands across the critical strait. The island-scale model detects human landing sites and activity zones on islands. The research introduces a novel cross-scale trans-medium framework to analyze the dynamics of oceans, straits, and islands, substantiated by case studies and historical texts. This framework deciphers land-sea movement patterns shaped by human marine activities, revealing their spatial characteristics. Furthermore, it provides insights for archaeological investigations and enables systematic interpretation of cultural implications on a macro scale.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-M-2-2025
Shenzhen Institute of Information Technology (CN), Tianjin University (CN), Harbin Institute of Technology (CN), Institute of Archaeology (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Harbin Institute of Technology, National Oceanic and Atmospheric Administration, National Social Science Fund of China
Openalex Percentile: Top 68%
Geographic Information Systems Studies
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