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Zhangcai Yin, Yuan Chen and Shen Ying
Time geography considers that the motion of moving objects can be expressed using space?time paths. The existing time geography methods construct space-time paths using discrete trajectory points of a moving point object to characterize its motion patter...
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Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Luigi Sciarretta, Domenico Ursino and Luca Virgili
The concept of scope was introduced in Social Network Analysis to assess the authoritativeness and convincing ability of a user toward other users on one or more social platforms. It has been studied in the past in some specific contexts, for example to ...
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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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Saeed Rahimi, Antoni B. Moore and Peter A. Whigham
Current spatiotemporal data has facilitated movement studies to shift objectives from descriptive models to explanations of the underlying causes of movement. From both a practical and theoretical standpoint, progress in developing approaches for these e...
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Purwanto Purwanto, Sugeng Utaya, Budi Handoyo, Syamsul Bachri, Ike Sari Astuti, Kresno Sastro Bangun Utomo and Yulius Eka Aldianto
In this research, we analyzed COVID-19 distribution patterns based on hotspots and space?time cubes (STC) in East Java, Indonesia. The data were collected based on the East Java COVID-19 Radar report results from a four-month period, namely March, April,...
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Pavlína Netrdová and Vojtech Nosek
This paper focuses on the analysis of unemployment data in Czechia on a very detailed spatial structure and yearly, extended time series (2002?2019). The main goal of the study was to examine the spatial dimension of disparities in regional unemployment ...
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Yi Qiang and Nico Van de Weghe
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS...
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Yuanyuan Mao, Shenzhi Dai, Jiajun Ding, Wei Zhu, Can Wang and Xinyue Ye
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Wujiao Dai, Ning Liu, Rock Santerre and Jiabao Pan
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Chungwook Sim, Sukanta Basu and Lance Manuel
Efficient spatial and temporal resolution of simulated inflow wind fields is important in order to represent wind turbine dynamics and derive load statistics for design. Using Fourier-based stochastic simulation of inflow turbulence, we first investigate...
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Jing Cui, Yanrong Liu, Junling Sun, Di Hu and Handong He
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. Th...
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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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Bin Zhang, Jian Yin, Hongtao Jiang and Yuanhong Qiu
Nighttime lights remote sensing has a significant advantage in exploring the economic development of cities. Based on nighttime lighting data, this study employed spatial direction analysis, exploratory spatial data analysis, and social network analysis ...
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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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Alberto Vavassori, Daniele Oxoli and Maria Antonia Brovelli
Human activities are one of the main causes of lake-water pollution and eutrophication. The study of human pressure around lakes is of importance to understand its effects on the lakes natural resources. Social media data is a valuable space?time-resolve...
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Miguel Saraiva, Irina Matijo?aitiene, Saloni Mishra and Ana Amante
Crimes are a common societal concern impacting quality of life and economic growth. Despite the global decrease in crime statistics, specific types of crime and feelings of insecurity, have often increased, leading safety and security agencies with the n...
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Michael Visner, Sara Shirowzhan and Chris Pettit
The 2019?2020 bushfire season is estimated to be one of the worst fire seasons on record in Australia, especially in New South Wales (NSW). The devastating fire season ignited a heated public debate on whether prescribed burning is an effective tool for ...
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Alvise Benetazzo, Francesco Barbariol and Silvio Davison
There is general consensus that accurate model predictions of extreme wave events during marine storms can substantially contribute to avoiding or minimizing human losses and material damage. Reliable wave forecasts and hindcasts, together with statistic...
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Almin Ðapo, Marko Pavasovic, Bo?ko Pribicevic and Eduard Prelogovic
This paper describes the long-standing interdisciplinary geodynamic research for the wider Zagreb area, the most seismically active area of the continental part of the Republic of Croatia, extending over an area of around 800 km2. As a result of the rese...
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Lina Wang, Xiang Li, Linfang Ding, Xinkai Yu and Tao Hu
Visualization of the spatial distribution pattern of transport accessibility and its changes can be crucial for understanding and assessing the performance of transportation systems. Compared to traditional maps representing geographic space, time cartog...
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