Isogloss and Icon: Reimagining Cultural Hearth Diffusion Through Contemporary Geospatial Analytics Article Swipe
Revista, Zen
,
GEOGRAPHY, 10
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17728856
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17728856
The study of cultural diffusion has long been central to human geography and anthropology, elucidating how ideas, practices, and innovations spread across space and time from their points of origin, known as cultural hearths. Traditionally, the mapping of these phenomena has relied on cartographic representations of linguistic, material, or behavioral patterns, often delineated by 'isoglosses'—geographic boundaries separating distinct cultural or linguistic features. However, conventional methods frequently oversimplify complex spatial interactions and temporal dynamics. This paper reimagines cultural hearth diffusion by integrating contemporary geospatial analytics, leveraging advanced Geographic Information Systems (GIS), remote sensing, spatial statistics, and network analysis. By moving beyond static maps, we propose a dynamic framework that can identify the precise spatial extent and temporal evolution of cultural hearths and their diffusion pathways. We explore how 'icons'—distinctive cultural markers—can be tracked using diverse datasets, from historical linguistic atlases to modern social media data and satellite imagery, to reveal nuanced patterns of contagious, hierarchical, and relocation diffusion. This approach offers a more granular understanding of the interplay between physical geography, social networks, and technological accelerators in shaping cultural landscapes, enabling researchers to visualize and analyze cultural change with unprecedented detail and precision. The integration of these advanced tools promises to uncover hidden patterns, challenge established diffusion narratives, and provide a robust foundation for future interdisciplinary research in cultural geography and digital humanities.
Related Topics
Concepts
Geospatial analysis
Data science
Geovisualization
Hearth
Analytics
Relocation
Cultural geography
Geography
Geographic information system
Human geography
Time geography
Space (punctuation)
Cultural landscape
Social media
Computer science
Cultural analytics
Sociology
Deep time
Spatial ecology
Geocoding
Geomatics
Cultural analysis
Information system
Cultural heritage
Cultural studies
Diffusion
Crowdsourcing
Cartography
Temporal scales
Spatial analysis
Digital mapping
Geoinformatics
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.5281/zenodo.17728856
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7106813227
All OpenAlex metadata
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https://openalex.org/W7106813227Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.17728856Digital Object Identifier
- Title
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Isogloss and Icon: Reimagining Cultural Hearth Diffusion Through Contemporary Geospatial AnalyticsWork title
- Type
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articleOpenAlex work type
- Publication year
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2025Year of publication
- Publication date
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2025-11-27Full publication date if available
- Authors
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Revista, Zen, GEOGRAPHY, 10List of authors in order
- Landing page
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https://doi.org/10.5281/zenodo.17728856Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17728856Direct OA link when available
- Concepts
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Geospatial analysis, Data science, Geovisualization, Hearth, Analytics, Relocation, Cultural geography, Geography, Geographic information system, Human geography, Time geography, Space (punctuation), Cultural landscape, Social media, Computer science, Cultural analytics, Sociology, Deep time, Spatial ecology, Geocoding, Geomatics, Cultural analysis, Information system, Cultural heritage, Cultural studies, Diffusion, Crowdsourcing, Cartography, Temporal scales, Spatial analysis, Digital mapping, GeoinformaticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| abstract_inverted_index.spread | 20 |
| abstract_inverted_index.static | 100 |
| abstract_inverted_index.Systems | 88 |
| abstract_inverted_index.analyze | 184 |
| abstract_inverted_index.atlases | 138 |
| abstract_inverted_index.between | 167 |
| abstract_inverted_index.central | 8 |
| abstract_inverted_index.complex | 67 |
| abstract_inverted_index.digital | 220 |
| abstract_inverted_index.diverse | 133 |
| abstract_inverted_index.dynamic | 105 |
| abstract_inverted_index.explore | 125 |
| abstract_inverted_index.hearths | 119 |
| abstract_inverted_index.mapping | 36 |
| abstract_inverted_index.methods | 64 |
| abstract_inverted_index.network | 95 |
| abstract_inverted_index.nuanced | 149 |
| abstract_inverted_index.origin, | 29 |
| abstract_inverted_index.precise | 111 |
| abstract_inverted_index.propose | 103 |
| abstract_inverted_index.provide | 208 |
| abstract_inverted_index.shaping | 176 |
| abstract_inverted_index.spatial | 68, 92, 112 |
| abstract_inverted_index.tracked | 131 |
| abstract_inverted_index.uncover | 200 |
| abstract_inverted_index.However, | 62 |
| abstract_inverted_index.advanced | 85, 196 |
| abstract_inverted_index.approach | 158 |
| abstract_inverted_index.cultural | 3, 32, 58, 76, 118, 128, 177, 185, 217 |
| abstract_inverted_index.distinct | 57 |
| abstract_inverted_index.enabling | 179 |
| abstract_inverted_index.granular | 162 |
| abstract_inverted_index.hearths. | 33 |
| abstract_inverted_index.identify | 109 |
| abstract_inverted_index.imagery, | 146 |
| abstract_inverted_index.patterns | 150 |
| abstract_inverted_index.physical | 168 |
| abstract_inverted_index.promises | 198 |
| abstract_inverted_index.research | 215 |
| abstract_inverted_index.sensing, | 91 |
| abstract_inverted_index.temporal | 71, 115 |
| abstract_inverted_index.analysis. | 96 |
| abstract_inverted_index.challenge | 203 |
| abstract_inverted_index.datasets, | 134 |
| abstract_inverted_index.diffusion | 4, 78, 122, 205 |
| abstract_inverted_index.dynamics. | 72 |
| abstract_inverted_index.evolution | 116 |
| abstract_inverted_index.features. | 61 |
| abstract_inverted_index.framework | 106 |
| abstract_inverted_index.geography | 11, 218 |
| abstract_inverted_index.interplay | 166 |
| abstract_inverted_index.material, | 47 |
| abstract_inverted_index.networks, | 171 |
| abstract_inverted_index.pathways. | 123 |
| abstract_inverted_index.patterns, | 50, 202 |
| abstract_inverted_index.phenomena | 39 |
| abstract_inverted_index.satellite | 145 |
| abstract_inverted_index.visualize | 182 |
| abstract_inverted_index.Geographic | 86 |
| abstract_inverted_index.analytics, | 83 |
| abstract_inverted_index.behavioral | 49 |
| abstract_inverted_index.boundaries | 55 |
| abstract_inverted_index.delineated | 52 |
| abstract_inverted_index.diffusion. | 156 |
| abstract_inverted_index.foundation | 211 |
| abstract_inverted_index.frequently | 65 |
| abstract_inverted_index.geography, | 169 |
| abstract_inverted_index.geospatial | 82 |
| abstract_inverted_index.historical | 136 |
| abstract_inverted_index.leveraging | 84 |
| abstract_inverted_index.linguistic | 60, 137 |
| abstract_inverted_index.practices, | 17 |
| abstract_inverted_index.precision. | 191 |
| abstract_inverted_index.reimagines | 75 |
| abstract_inverted_index.relocation | 155 |
| abstract_inverted_index.separating | 56 |
| abstract_inverted_index.Information | 87 |
| abstract_inverted_index.contagious, | 152 |
| abstract_inverted_index.elucidating | 14 |
| abstract_inverted_index.established | 204 |
| abstract_inverted_index.humanities. | 221 |
| abstract_inverted_index.innovations | 19 |
| abstract_inverted_index.integrating | 80 |
| abstract_inverted_index.integration | 193 |
| abstract_inverted_index.landscapes, | 178 |
| abstract_inverted_index.linguistic, | 46 |
| abstract_inverted_index.narratives, | 206 |
| abstract_inverted_index.researchers | 180 |
| abstract_inverted_index.statistics, | 93 |
| abstract_inverted_index.accelerators | 174 |
| abstract_inverted_index.cartographic | 43 |
| abstract_inverted_index.contemporary | 81 |
| abstract_inverted_index.conventional | 63 |
| abstract_inverted_index.interactions | 69 |
| abstract_inverted_index.oversimplify | 66 |
| abstract_inverted_index.anthropology, | 13 |
| abstract_inverted_index.hierarchical, | 153 |
| abstract_inverted_index.markers—can | 129 |
| abstract_inverted_index.technological | 173 |
| abstract_inverted_index.understanding | 163 |
| abstract_inverted_index.unprecedented | 188 |
| abstract_inverted_index.Traditionally, | 34 |
| abstract_inverted_index.representations | 44 |
| abstract_inverted_index.interdisciplinary | 214 |
| abstract_inverted_index.'icons'—distinctive | 127 |
| abstract_inverted_index.'isoglosses'—geographic | 54 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.96431635 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |