Analysis of Spatio-Temporal Characteristics of Small Business Sales by the Spread of COVID-19 in Seoul, Korea : Using Space-Time Cube Model

2021 ◽  
Vol 56 (2) ◽  
pp. 218-234
Author(s):  
Jungwon Ha ◽  
Sunjae Kim ◽  
Sugie Lee
2019 ◽  
Vol 2 ◽  
pp. 1-3
Author(s):  
Nahye Cho ◽  
Youngok Kang

<p><strong>Abstract.</strong> In this study, we visualized and analyzed log data in order to analyze the spatiotemporal characteristics of “moving” and “staying activities”. As a case study, we collected and preprocessed GPS log data generated by students participating in field activities. STP (Space-Time Path) was used to visualize movement logs. “Movement” and staying places were distinguished through density-based clustering, and the time “stayed” and activities performed at staying places were examined. The problem of over-measuring time at some staying places was examined. To resolve this, the 3D Density-Based Spatial Clustering of Application with Noise (DBSCAN) was used to more accurately measure the time spent at staying places. We propose 3D DBSCAN as methodology to accurately measure spatiotemporal data. We believe this method will remain effective even as this data becomes more numerous.</p>


2018 ◽  
Vol 41 (1) ◽  
pp. 65-72 ◽  
Author(s):  
Zharko Stojmanovski ◽  
Blagojcho Tabakovski

Abstract Starting in May 2014 an emerging Bluetongue (BT) serotype 4 (BTV-4) epizooty has affected the ruminant population of eleven countries from the Balkan Peninsula. Consequently, the veterinary services implemented various bio-security measures and a considerable discussion has been raised if future BTV surveillance and preventive measures should be taken in risk based zones and periods. Therefore, the objective of this work was to describe the spatial and temporal characteristics of the BTV-4 epizooty in the Balkan Peninsula from May 2014 to February 2015. We used the space-time permutation model of the scan statistic to identify the space-time disease clusters. The scan statistic was parameterized to a maximum temporal length of 150 days (duration of the epizooty in the Balkans in 2014) and a radius of 100 km as a maximum spatial cluster size (protection zone for BT). Results were significant (p < 0.05) to the maximum spatial size defined for the clusters. From the 6295 BT outbreaks the scan statistics identified 33 disease clusters in nine Balkan countries. The highest number of outbreaks occurred from September to November 2014.The earliest cluster was detected in Greece in July 2014 with a radius of 56 km. The latest cluster was detected in Croatia in February 2015 with a radius of 99,8 km. These results are a first description of the spatial and temporal characteristics of the 2014-February 2015 BT epizooty in the Balkans.


2021 ◽  
Vol 24 (3) ◽  
pp. 5-8
Author(s):  
Kai Geissdoerfer ◽  
Mikołaj Chwalisz ◽  
Marco Zimmerling

Collaboration of batteryless devices is essential to their success in replacing traditional battery-based systems. Without significant energy storage, spatio-temporal fluctuations of ambient energy availability become critical for the correct functioning of these systems. We present Shepherd, a testbed for the batteryless Internet of Things (IoT) that can record and reproduce spatio-temporal characteristics of real energy environments to obtain insights into the challenges and opportunities of operating groups of batteryless sensor nodes.


2021 ◽  
pp. 100058
Author(s):  
Theos Dieudonne Benimana ◽  
Naae Lee ◽  
Seungpil Jung ◽  
Woojoo Lee ◽  
Seung-sik Hwang

2021 ◽  
Vol 13 (8) ◽  
pp. 4203
Author(s):  
Bin Du ◽  
Ying Wang ◽  
Jiaxin He ◽  
Wai Li ◽  
Xiaohong Chen

Based on the fundamental concept of sustainable development, this study empirically analyzes the spatio-temporal characteristics, formation mechanisms and obstacle factors of the urban-rural integration of shrinking cities in China, from 2008 to 2018. The conclusions are as follows: the overall level of the urban-rural integration of shrinking cities in China is low; the internal differences of urban-rural integration are also small, and the changes are slow. Next, the space difference is high in the east and low in the west, high in the south and low in the north. Moreover, differences exist among different levels of urban agglomerations. Urban economic efficiency, urban resources and environment, urban social equity and rural economic efficiency are the main factors affecting the urban-rural integration of shrinking cities in China. Urban and rural economic efficiency are the two most prominent shortcomings that restrict the urban-rural integration of shrinking cities. The spatial resistance mode of each city is more than the two-system resistance; the main resistance of shrinking cities with a higher level of urban-rural integration also comes from the non-economic field. This study expands the research scope that up till now has ignored the discussion of urban-rural issues in the research of shrinking cities at home and abroad, and provides practical guidance for the sustainable development of shrinking cities in China.


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