Techniques and Data Analysis in Cultural Heritage, 2nd Edition

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 883

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Department of Electronics, Information, and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
Interests: satellite and deep space telecommunications; information theory; mathematics of alphabetical texts
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Special Issue Information

Dear Colleagues,

Cultural heritage is an invaluable human asset, showcasing our achievements over the centuries. The identification and conservation of cultural heritage have always been a challenge, with experts attempting to exploit any possible method to fulfill these aims. With the development of humanity and the invention of new tools and technologies such as computers and digital tools, the concept of cultural heritage conservation has changed considerably, bestowing new opportunities.

In this Special Issue, we focus on original and unpublished research articles addressing techniques and data analytics that have been or could be adopted in the domain of cultural heritage.

Prof. Dr. Emilio Matricciani
Guest Editor

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • data mining
  • data processing
  • mathematical methods and techniques
  • remote sensing of archeological sites and artifacts

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Published Papers (1 paper)

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Research

24 pages, 5675 KB  
Article
Reconciling Livelihood and Tourism: A Data-Driven Diagnosis of Spatial Vitality in Small-Town China’s Historic Districts
by Wenlin Ding, Wen Ouyang and Wei-Ling Hsu
Information 2025, 16(11), 963; https://doi.org/10.3390/info16110963 - 6 Nov 2025
Viewed by 632
Abstract
This study addresses the critical conflict between livelihood preservation and commercial tourism in the residential historic districts of small-town China—a context often overlooked in urban studies. Taking Meizhou’s “One Town, Two Lanes” as a case, we propose a novel multi-source data fusion framework [...] Read more.
This study addresses the critical conflict between livelihood preservation and commercial tourism in the residential historic districts of small-town China—a context often overlooked in urban studies. Taking Meizhou’s “One Town, Two Lanes” as a case, we propose a novel multi-source data fusion framework integrating POIs, population heatmaps, and questionnaire surveys. By applying Analytic Hierarchy Process (AHP), Poisson regression, and spatial correlation analysis, we quantitatively diagnose spatial disorders. The results reveal a dual-suppression mechanism: residential vitality, reliant on public services, is suppressed by commercial tourism, while tourist vitality is diminished by experience–quality gaps. This conflict manifests as pronounced vitality fractures. Our methodology and findings provide a replicable framework for diagnosing and resolving spatial conflicts in similar historic districts, emphasizing the imperative of prioritizing residential continuity. Full article
(This article belongs to the Special Issue Techniques and Data Analysis in Cultural Heritage, 2nd Edition)
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