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Sergi Costafreda-Aumedes, Carles Comas and Cristina Vega-Garcia
Human-caused wildfires are often regarded as unpredictable, but usually occur in patterns aggregated over space and time. We analysed the spatio-temporal configuration of 7790 anthropogenic wildfires (2007?2013) in nine study areas distributed throughout...
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Alexander Shknevsky, Yuval Shahar and Robert Moskovitch
We propose a new pruning constraint when mining frequent temporal patterns to be used as classification and prediction features, the Semantic Adjacency Criterion [SAC], which filters out temporal patterns that contain potentially semantically contradicto...
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Xiang Fang, Zhen Liu, Jing Li, Jianbin Lai, Huarui Gong, Zhigang Sun, Zhu Ouyang, Wenjun Dou and Keyu Fa
Salt patches (SPs) with surface salt accumulation pose a serious threat to agriculture in coastal saline lands. However, the migration and distribution of soil water and salt in SPs remain unclear due to complex water?salt transport dynamics. In this stu...
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Haonan Zhang, Zheng Chen, Jieyong Wang, Haitao Wang and Yingwen Zhang
With increasing tension between humans and land, and arising pressure on food security in China, the improvement of total factor productivity is important to realize agricultural modernization and promote rural revitalization strategy. In this study, we ...
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Yanzhong Yin, Qunyong Wu and Mengmeng Li
Understanding intercity mobility patterns is important for future urban planning, in which the intensity of intercity mobility indicates the degree of urban integration development. This study investigates the intercity mobility patterns of the Greater B...
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Xiaoyi Zu, Zhixian Li, Chen Gao and Yi Wang
Urban-scale green spaces have been a central topic as of late, but community-scale green spaces are overlooked in urban studies. This paper takes community green spaces in the main urban area of Beijing as the case to quantitatively interpret the spatial...
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Piotr A. Werner, Malgorzata Kesik-Brodacka, Karolina Nowak, Robert Olszewski, Mariusz Kaleta and David T. Liebers
This article describes an original methodology for integrating global SIR-like epidemic models with spatial interaction models, which enables the forecasting of COVID-19 dynamics in Poland through time and space. Mobility level, estimated by the regional...
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Renée P. Schoeman, Christine Erbe and Stephanie Plön
In 2014, the South African government launched ?Operation Phakisa? under which port developments play a significant role in supporting ocean economic growth. These developments will likely increase vessel traffic to and from South African ports, making i...
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Martina Gregorietti, Elena Papale, Maria Ceraulo, Clarissa de Vita, Daniela Silvia Pace, Giorgio Tranchida, Salvatore Mazzola and Giuseppa Buscaino
The evaluation of acoustic temporal rhythms in wide-ranging cetaceans can reveal patterns in animal spatial presence and the occurrence of periodical phenomena. Here, we aimed at assessing the temporal patterns of dolphin?s acoustic presence in a shallow...
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Steven R. Fassnacht, Glenn G. Patterson, Niah B.H. Venable, Mikaela L. Cherry, Anna K.D. Pfohl, Jessica E. Sanow and Molly E. Tedesche
Historically, snowpack trends have been assessed using one fixed date to represent peak snow accumulation prior to the onset of melt. Subsequent trend analyses have considered the peak snow water equivalent (SWE), but the date of peak SWE can vary by sev...
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Guiming Zhang
Volunteered geographic information (VGI) has great potential to reveal spatial and temporal dynamics of geographic phenomena. However, a variety of potential biases in VGI are recognized, many of which root from volunteer data contribution activities. Ex...
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Thu Lan Nguyen, Ichiro Yamada, Takashi Yano, Koichi Makino and Masaharu Ohya
Many decibel-based noise indicators are used in noise policy to evaluate aircraft sound in the environment. Among those, day?evening?night-weighted sound pressure level (Lden" role="presentation" style="position: relative;">??denLden
L
den
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Mengmeng Hao, Dong Jiang, Fangyu Ding, Jingying Fu and Shuai Chen
In recent years, various types of terrorist attacks have occurred which have caused worldwide catastrophes. The ability to proactively detect and even predict a potential terrorist risk is critically important for government agencies to react in a timely...
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Limin Duan, Tingxi Liu, Xixi Wang and Yanyun Luo
Understanding groundwater-vegetation interactions is crucial for sustaining fragile environments of desert areas such as the Horqin Sandy Land (HSL) in northern China. This study examined spatio-temporal variations in the water table and the associated v...
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Ana M. Petrovic, Igor Le?ce?en and Ivan Radevski
This paper presents a comprehensive analysis of flood frequency and a spatio-temporal characterization of historical torrential floods in the ?umadija region using water discharge datasets and documented events. A chronology of 344 recorded torrential fl...
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Xiaomei Fan, Tong Min and Xiaojie Dai
Shallow groundwater in coastal aquifers is a highly dynamic and complex system with a high risk of seawater intrusion. Analyzing the spatio-temporal dynamic patterns of groundwater can help to manage the groundwater resource and prevent it from degradati...
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Jing Tian, Zilin Zhao and Zhiming Ding
With the widespread use of the location-based social networks (LBSNs), the next point-of-interest (POI) recommendation has become an essential service, which aims to understand the user?s check-in behavior at the current moment by analyzing and mining th...
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Ismail Mohsine, Ilias Kacimi, Shiny Abraham, Vincent Valles, Laurent Barbiero, Fabrice Dassonville, Tarik Bahaj, Nadia Kassou, Abdessamad Touiouine, Meryem Jabrane, Meryem Touzani, Badr El Mahrad and Tarik Bouramtane
Defining homogeneous units to optimize the monitoring and management of groundwater is a key challenge for organizations responsible for the protection of water for human consumption. However, the number of groundwater bodies (GWBs) is too large for targ...
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Pawel Cybulski
Animated cartographic visualization incorporates the concept of geomedia presented in this Special Issue. The presented study aims to examine the effectiveness of spatial pattern and temporal trend recognition on animated choropleth maps. In a controlled...
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Yuanfang Chen, Jiannan Cai and Min Deng
The discovery of spatio-temporal co-occurrence patterns (STCPs) among multiple types of crimes whose events frequently co-occur in neighboring space and time is crucial to the joint prevention of crimes. However, the crime event occurrence time is often ...
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