Development of a Spatio-Temporal Analysis Method to Support the Prevention of COVID-19 Infection: Space-Time Kernel Density Estimation Using GPS Location History Data

2021 ◽  
pp. 51-67
Author(s):  
Haruka Kato
Keyword(s):  
Density Estimation ◽  
Kernel Density Estimation ◽  
Kernel Density ◽  
Temporal Analysis ◽  
Space Time ◽  
Analysis Method ◽  
History Data ◽  
Spatio Temporal

A network Kernel Density Estimation for linear features in space–time analysis of big trace data

2015 ◽  
Vol 30 (9) ◽  
pp. 1717-1737 ◽  
Author(s):  
Luliang Tang ◽  
Zihan Kan ◽  
Xia Zhang ◽  
Fei Sun ◽  
Xue Yang ◽  
...  
Keyword(s):  
Density Estimation ◽  
Kernel Density Estimation ◽  
Kernel Density ◽  
Space Time ◽  
Time Analysis ◽  
Linear Features ◽  
Trace Data

scholarly journals Parallel Space-Time Kernel Density Estimation

2017 ◽  
Author(s):  
Erik Saule ◽  
Dinesh Panchananam ◽  
Alexander Hohl ◽  
Wenwu Tang ◽  
Eric Delmelle
Keyword(s):  
Density Estimation ◽  
Kernel Density Estimation ◽  
Kernel Density ◽  
Space Time

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

2021 ◽  
Vol 10 (5) ◽  
pp. 312
Author(s):  
Jing Cui ◽  
Yanrong Liu ◽  
Junling Sun ◽  
Di Hu ◽  
Handong He
Keyword(s):  
Qing Dynasty ◽  
Tang Dynasty ◽  
Temporal Analysis ◽  
Space Time ◽  
Test Method ◽  
Archaeological Sites ◽  
Trend Test ◽  
Analysis Method ◽  
The Qing Dynasty ◽  
Spatio Temporal

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°~33° N, 118°~121° E) and Anhui (29°~31° N, 117°~119° E) and the central region of Zhejiang (28°~31° N, 118°~121° E). Temporally and spatially, the distribution of Archaeological Sites is mainly centered in Shanghai (30°~32° N, 121°~122° E), spreading to the southern region.

scholarly journals A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation

2018 ◽  
Vol 99 ◽  
pp. 89-97 ◽  
Author(s):  
Yujie Hu ◽  
Fahui Wang ◽  
Cecile Guin ◽  
Haojie Zhu
Keyword(s):  
Density Estimation ◽  
Kernel Density Estimation ◽  
Kernel Density ◽  
Spatio Temporal
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