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Augustus Aturinde and Ali Mansourian
While COVID-19 is a global pandemic, different countries have experienced different morbidity and mortality patterns. We employ retrospective and prospective space?time permutation analysis on COVID-19 positive records across different municipalities in ...
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David S. Lamb, Joni Downs and Steven Reader
Finding clusters of events is an important task in many spatial analyses. Both confirmatory and exploratory methods exist to accomplish this. Traditional statistical techniques are viewed as confirmatory, or observational, in that researchers are confirm...
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Raid W. Amin, Hakki Erhan Sevil, Salih Kocak, Guillermo Francia III and Philip Hoover
In this study, we aimed to identify spatial clusters of countries with high rates of cyber attacks directed at other countries. The cyber attack dataset was obtained from Canadian Institute for Cybersecurity, with over 110,000 Uniform Resource Locators (...
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Lan Li, Yuliang Xi and Fu Ren
Tuberculosis (TB) is an infectious disease with one of the highest reported incidences in China. The detection of the spatio-temporal distribution characteristics of TB is indicative of its prevention and control conditions. Trajectory similarity analysi...
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Xiao Zhou, Jiangpeng Tian and Mingzhan Su
This study designed a tour-route-planning and recommendation algorithm that was based on an improved AGNES spatial clustering and space-time deduction model. First, the improved AGNES tourist attraction spatial clustering algorithm was created. Based on ...
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Mengqian Lu and Xiaotian Hao
Three river basins, i.e., the Yangtze river, the Mississippi river and the Loire river, were presented as case studies to explore the association among atmospheric circulations, moisture exports and extreme precipitations in the mid-latitudes. The major ...
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Krenar Ibrahimi
Pág. 261 - 278
This paper shows how and why a theoretical framework to (re)conceptualize seaports as institutional and operational clusters may be constructed. Using a thorough review and content analysis of the seaport literature, six interrelated contextual dimension...
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Michael J. Allen, Thomas R. Allen, Christopher Davis and George McLeod
This study evaluates the spatial-temporal patterns in Virginia tornadoes using the National Weather Service Storm Prediction Center?s Severe Weather GIS (SVRGIS) database. In addition to descriptive statistics, the analysis employs Kernel Density Estimat...
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Daping Yang, Wenzhong Shi, Yue Yu, Liang Chen and Ruizhi Chen
Understanding the space?time pattern of the transmission locations of COVID-19, as well as the relationship between the pattern, socioeconomic status, and environmental factors, is important for pandemic prevention. Most existing research mainly analyzes...
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Anran Zheng, Tao Wang and Xiaojuan Li
The Coronavirus disease 2019 (COVID-19) has been spreading in New York State since March 2020, posing health and socioeconomic threats to many areas. Statistics of daily confirmed cases and deaths in New York State have been growing and declining amid ch...
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