G-STC-M Spatio-Temporal Analysis Method for Archaeological Sites

被引:3
作者
Cui, Jing [1 ]
Liu, Yanrong [1 ]
Sun, Junling [1 ]
Hu, Di [2 ]
He, Handong [1 ]
机构
[1] Anhui Agr Univ, Sch Resources & Environm, Hefei 230036, Peoples R China
[2] Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Archaeological Sites; G-STC-M; spatio-temporal analysis; SPACE-TIME CUBE; RURAL ACCOMMODATION; LANDSCAPE; REPRESENTATION; EXTREMADURA; HISTORY; LIDAR;
D O I
10.3390/ijgi10050312
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Based on the significant hotspots analysis method (Getis-Ord Gi* significance statistics), space-time cube model (STC) and the Mann-Kendall trend test method, this paper proposes a G-STC-M spatio-temporal analysis method based on Archaeological Sites. This method can integrate spatio-temporal data variable analysis and the space-time cube model to explore the spatio-temporal distribution of Archaeological Sites. The G-STC-M method was used to conduct time slice analysis on the data of Archaeological Sites in the study area, and the spatio-temporal variation characteristics of Archaeological Sites in East China from the Tang Dynasty to the Qing Dynasty were discussed. The distribution of Archaeological Sites has temporal hotspots and spatial hotspots. Temporally, the distribution of Archaeological Sites showed a gradual increasing trend, and the number of Archaeological Sites reached the maximum in the Qing Dynasty. Spatially, the hotspots of Archaeological Sites are mainly distributed in Jiangsu (30 degrees similar to 33 degrees N, 118 degrees similar to 121 degrees E) and Anhui (29 degrees similar to 31 degrees N, 117 degrees similar to 119 degrees E) and the central region of Zhejiang (28 degrees similar to 31 degrees N, 118 degrees similar to 121 degrees E). Temporally and spatially, the distribution of Archaeological Sites is mainly centered in Shanghai (30 degrees similar to 32 degrees N, 121 degrees similar to 122 degrees E), spreading to the southern region.
引用
收藏
页数:25
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