Visualising Spatial Dispersion in Cultural Heritage Data
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| Publicado en: | ISPRS International Journal of Geo-Information vol. 14, no. 7 (2025), p. 267-292 |
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| Autor principal: | |
| Otros Autores: | , , |
| Publicado: |
MDPI AG
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3233222227 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2220-9964 | ||
| 024 | 7 | |a 10.3390/ijgi14070267 |2 doi | |
| 035 | |a 3233222227 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231472 |2 nlm | ||
| 100 | 1 | |a Laya, Targa |u Institute of Robotics and Information and Communication Technologies, Universitat de València, 46980 Paterna, Spain; cristina.portales@uv.es | |
| 245 | 1 | |a Visualising Spatial Dispersion in Cultural Heritage Data | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The digitisation of cultural heritage has transformed how GLAM (Galleries, Libraries, Archives and Museums) institutions manage and share collections. Digital catalogues are indispensable for documenting and granting public access to cultural assets. However, integrating spatial data remains challenging due to the ambiguity, uncertainty, granularity, and heterogeneity of historical data. This study addresses these issues through a case study on the Museo de América’s “Place of Provenance” data, proposing a methodology for data cleaning and evaluating geocoding accuracy using Nominatim, ArcGIS, and GeoNames APIs. We assess these APIs by quantifying geocoding errors through a “balance sheet” method, identifying instances of over-representation, under-representation, or neutral results for geographical regions. The effectiveness of each API is analysed using confusion matrices and interactive cartograms, offering insights into misallocations. Our findings reveal varying accuracy among the APIs in processing heterogeneous historical spatial data. Nominatim achieved a 40.91% neutral result in correctly geocoding countries, underscoring challenges in spatial data representation. This research provides valuable methodological experiences and insights for researchers and GLAM institutions working with cultural heritage datasets. By enhancing spatial dispersion visualisation, this work contributes to understanding cultural circulations and historical patterns. This interdisciplinary work was developed as part of the ClioViz project, integrating Data Science, data Visualisation, and art history. | |
| 653 | |a Accuracy | ||
| 653 | |a Scientific visualization | ||
| 653 | |a Museums | ||
| 653 | |a Linked Data | ||
| 653 | |a Datasets | ||
| 653 | |a Culture | ||
| 653 | |a Ontology | ||
| 653 | |a Public access | ||
| 653 | |a Dispersion | ||
| 653 | |a Spatial data | ||
| 653 | |a Cultural resources | ||
| 653 | |a Heterogeneity | ||
| 653 | |a Representations | ||
| 653 | |a Case studies | ||
| 653 | |a Data science | ||
| 653 | |a Collections | ||
| 653 | |a Information processing | ||
| 653 | |a Digital humanities | ||
| 653 | |a Qualitative research | ||
| 653 | |a Digitization | ||
| 653 | |a Visualization | ||
| 653 | |a Cultural heritage | ||
| 700 | 1 | |a Villuendas Esperanza |u Department of Art History, Universitat de València, 46010 València, Spain; esperanza.villuendas@uv.es (E.V.); jorge.sebastian@uv.es (J.S.) | |
| 700 | 1 | |a Portalés Cristina |u Institute of Robotics and Information and Communication Technologies, Universitat de València, 46980 Paterna, Spain; cristina.portales@uv.es | |
| 700 | 1 | |a Sebastián, Jorge |u Department of Art History, Universitat de València, 46010 València, Spain; esperanza.villuendas@uv.es (E.V.); jorge.sebastian@uv.es (J.S.) | |
| 773 | 0 | |t ISPRS International Journal of Geo-Information |g vol. 14, no. 7 (2025), p. 267-292 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3233222227/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3233222227/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3233222227/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |