Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an Example
Museum cultural relics represent a special material cultural heritage, and modern interpretations of them are needed in current society. Based on the catalogue data of cultural relics published by the State Administration of Cultural Heritage, this paper analyzes the continuity and intermittentness...
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MDPI AG
2021-04-01
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author | Penglong Li Zuoqin Shi Yi Ding Ling Zhao Zezhong Ma He Xiao Haifeng Li |
author_facet | Penglong Li Zuoqin Shi Yi Ding Ling Zhao Zezhong Ma He Xiao Haifeng Li |
author_sort | Penglong Li |
collection | DOAJ |
description | Museum cultural relics represent a special material cultural heritage, and modern interpretations of them are needed in current society. Based on the catalogue data of cultural relics published by the State Administration of Cultural Heritage, this paper analyzes the continuity and intermittentness of cultural relics in time series by using the method of continuity judgment of cultural relics, analyzes the aggregation and migration of cultural relics in space by using the method of spatial analysis, and then uses cosine similarity to explain the similarity distribution in space and time. The results show that the overall distribution of cultural relics exhibits the characteristics of class aggregation, dynasty aggregation and regional aggregation. From the perspective of a time scale, cultural relics have different “life cycles”, displaying continuity, intermittentness, and similarity. From the perspective of a spatial scale, the cultural relic distribution forms a small “cultural communication circle”, showing aggregation, migration, and similarity. The temporal and spatial distribution of cultural relics exhibited more similar characteristics among dynasties that were closer together than those that were far away. |
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issn | 2078-2489 |
language | English |
last_indexed | 2024-03-10T12:35:19Z |
publishDate | 2021-04-01 |
publisher | MDPI AG |
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spelling | doaj.art-f2a4f35168474a1eb43e5b414daa29a42023-11-21T14:19:26ZengMDPI AGInformation2078-24892021-04-0112415310.3390/info12040153Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an ExamplePenglong Li0Zuoqin Shi1Yi Ding2Ling Zhao3Zezhong Ma4He Xiao5Haifeng Li6Chongqing Geomatic and Remote Sensing Center, Chongqing 401147, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaChongqing Geomatic and Remote Sensing Center, Chongqing 401147, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaChongqing Geomatic and Remote Sensing Center, Chongqing 401147, ChinaChongqing Geomatic and Remote Sensing Center, Chongqing 401147, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaMuseum cultural relics represent a special material cultural heritage, and modern interpretations of them are needed in current society. Based on the catalogue data of cultural relics published by the State Administration of Cultural Heritage, this paper analyzes the continuity and intermittentness of cultural relics in time series by using the method of continuity judgment of cultural relics, analyzes the aggregation and migration of cultural relics in space by using the method of spatial analysis, and then uses cosine similarity to explain the similarity distribution in space and time. The results show that the overall distribution of cultural relics exhibits the characteristics of class aggregation, dynasty aggregation and regional aggregation. From the perspective of a time scale, cultural relics have different “life cycles”, displaying continuity, intermittentness, and similarity. From the perspective of a spatial scale, the cultural relic distribution forms a small “cultural communication circle”, showing aggregation, migration, and similarity. The temporal and spatial distribution of cultural relics exhibited more similar characteristics among dynasties that were closer together than those that were far away.https://www.mdpi.com/2078-2489/12/4/153geographic big datacultural relics of the China Museumspatial analysisspatial and temporal distributionmaterial cultural heritage |
spellingShingle | Penglong Li Zuoqin Shi Yi Ding Ling Zhao Zezhong Ma He Xiao Haifeng Li Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an Example Information geographic big data cultural relics of the China Museum spatial analysis spatial and temporal distribution material cultural heritage |
title | Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an Example |
title_full | Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an Example |
title_fullStr | Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an Example |
title_full_unstemmed | Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an Example |
title_short | Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data—Take Museum Relics as an Example |
title_sort | analysis of the temporal and spatial characteristics of material cultural heritage driven by big data take museum relics as an example |
topic | geographic big data cultural relics of the China Museum spatial analysis spatial and temporal distribution material cultural heritage |
url | https://www.mdpi.com/2078-2489/12/4/153 |
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