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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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Weifeng Shan, Zhihao Wang, Yuntian Teng and Maofa Wang
Studying the temporal and spatial evolution trends in earthquakes in an area is beneficial for determining the earthquake risk of the area so that local governments can make the correct decisions for disaster prevention and reduction. In this paper, we p...
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Elzbieta M. Bitner-Gregersen, Odin Gramstad, Anne Karin Magnusson and Mika Malila
Wave description is affected by several uncertainties, with sampling variability due to limited number of observations being one of them. Ideally, temporal/spatial wave registrations should be as large as possible to eliminate this uncertainty. This is d...
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Mohammad Ali Aghajani, Reza Shahni Dezfoulian, Abdolreza Rezaee Arjroody, Mohammadreza Rezaei
Pág. 2126 - 2138
The number of fatalities and casualties caused by road accidents is mostly affected by the 3 factors of road, human, and vehicle. Nowadays, tackling with the accident prone locations including the definition, identification, and modification prioritizati...
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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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Mario Gonzalez Pereira,Jose Aranha,Malik Amraoui
Pág. 598 - 610
Aim of study: This study aims to identify and characterize the spatial and temporal evolution of the types of vegetation that are most affected by forest fires in Europe. The characterization of the fuels is an important issue of the fire regime in each ...
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Yanli Li, Qingjie Li, Zhengyu Ji, Okbagaber Andom, Xiaoxing Wang, Xueqi Guo and Zhaojun Li
The use of antibiotics in the livestock and poultry industries has raised significant concern about environmental and health problems. In light of this, accurate knowledge of antibiotic residues in livestock and poultry manure is important for pollution ...
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Jesús Barreal,Maria L. Loureiro
Pág. e022
Aim of study: The goal of this paper is to analyse the importance of the main contributing factors to the occurrence of wildfires. Area of study: We employ data from the region of Galicia during 2001-2010; although the similarities shared between this ar...
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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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Natalia Valderrama,Gerardo Azócar García,Francisco Juárez Rubio
Pág. 1 - 14
This research work consists in a temporal-spatial perspective analysis of the agricultural productivity of Nuble Region (Central Chile).As an indirect measurement of productivity, white wheat (Triticum aestivum) yield is analyzed in two different years (...
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Natalia Valderrama,Gerardo Azócar García,Francisco Juárez Rubio
Pág. 1 - 14
This research work consists in a temporal-spatial perspective analysis of the agricultural productivity of Nuble Region (Central Chile).As an indirect measurement of productivity, white wheat (Triticum aestivum) yield is analyzed in two different years (...
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Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
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Khaled Hazaymeh, Ali Almagbile and Ahmad H. Alomari
This paper aims to explore the spatiotemporal pattern of traffic accidents using five years of data between 2015 and 2019 for the Irbid Governorate, Jordan. The spatial pattern of traffic-accident hotspots and their temporal evolution were identified alo...
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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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Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl and Bernd Resch
In 2015, within the timespan of only a few months, more than a million people made their way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public authorities and relief organisations struggled with the admission, transfe...
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Marcos Ruiz-Álvarez, Francisco Alonso-Sarria and Francisco Gomariz-Castillo
Several methods have been tried to estimate air temperature using satellite imagery. In this paper, the results of two machine learning algorithms, Support Vector Machines and Random Forest, are compared with Multiple Linear Regression and Ordinary krigi...
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Karl Bumke, Robin Pilch Kedzierski, Marc Schröder, Christian Klepp and Karsten Fennig
The satellite-derived HOAPS (Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data) precipitation estimates have been validated against in-situ precipitation measurements from optical disdrometers, available from OceanRAIN (Ocean Rainfall An...
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Jun Yang, Andong Guo, Xueming Li and Tai Huang
China?s high-speed rail was inaugurated in 2008; it has greatly improved accessibility, and reduced the time required to travel between cities, but at the same time, has caused an unfair distribution of accessibility levels. Therefore, this paper analyze...
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Joedna Silva Cruz, Raimundo Nonato Assis Júnior, Sammy Sidney Rocha Matias, Jesús Hernán Camacho-Tamayo
Pág. 155 - 164
Soil variability occurs due to natural and anthropogenic factors acting at various spatial and temporal scales. The purpose of this study was to evaluate the spatial variability as well as the relation of some chemical attributes using different stati...
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Betsy S. Ramos-Pacheco, David Choque-Quispe, Carlos A. Ligarda-Samanez, Aydeé M. Solano-Reynoso, Yudith Choque-Quispe, John Peter Aguirre Landa, Henrry W. Agreda Cerna, Henry Palomino-Rincón, Fredy Taipe-Pardo, Miluska M. Zamalloa-Puma, Lourdes Magaly Zamalloa-Puma, Edwin Mescco Cáceres, Liliana A. Sumarriva-Bustinza and Katia Choque-Quispe
Pollution indexes are instruments that allow a quick interpretation of water quality, combining physical, chemical, and microbiological parameters to generate a numerical value. Our aim was to evaluate spatial and temporal-spatial water quality and propo...
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