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State-of-the-Art Review of High-Throughput Statistical Spatial-Mapping Characterization Technology and Review

Haizhou Wang, Lei Zhao, Yunhai Jia, Dongling Li, Lixia Yang, Yuhua Lu, Guang Feng, Weihao Wan

Engineering 2020, Volume 6, Issue 6,   Pages 621-636 doi: 10.1016/j.eng.2020.05.005

Abstract: This article presents a state-of-the-art review of research and applications of high-throughput statisticalHighthroughput statistical spatial-mapping uses a series of rapid characterization techniques for analysisStatistical analysis can be used to select a suitable design that better meets the targeted requirementsThe high-throughput statistical spatial-mapping characterization technology has been applied to numerous

Keywords： Material heterogeneity     High-throughput characterization     Statistical spatial-mapping     Original-positionstatistical-distribution analysis    

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Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 895-904 doi: 10.1007/s11783-014-0736-z

Abstract: This study evaluated the temporal and spatial variations of water quality data sets for the Xin'anjiangRiver through the use of multivariate statistical techniques, including cluster analysis (CA), discriminanttemperature, electricity conductivity, total nitrogen, chemical oxygen demand and total phosphorus) for spatial

Keywords： Xin'anjiang River     multivariable statistical analysis     temporal variation     spatial variation     water quality    

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Quantifying and mapping spatial variability of Shanghai household carbon footprints

Shangguang YANG,Chunlan WANG,Kevin LO,Mark WANG,Lin LIU

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 115-124 doi: 10.1007/s11708-015-0348-8

Abstract: Understanding the spatial variability of household carbon emissions is necessary for formulating sustainableThe findings reveal substantial spatial variability in household carbon emissions, especially in transport-relatedOverall, the spatial pattern of household carbon emissions in Shanghai is donut-shaped: lowest in the

Keywords： household carbon emissions     spatial variability     energy policy     Shanghai     China    

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PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants

Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-020-1221-5

Abstract: GDAL/OGR libraries are used to do spatial analysis in the modeling and prediction.In this contribution, we present a LUR modeling and pollution-mapping software named PyLUR.variable generation module, a regression modeling module, a model validation module, and a prediction and mapping

Keywords： LUR     Air pollution modelling     GIS spatial analysis     GDAL/OGR Python     Pollutant concentration mapping    

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Smart model for accurate estimation of solar radiation

Lazhar ACHOUR, Malek BOUHARKAT, Ouarda ASSAS, Omar BEHAR

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 383-399 doi: 10.1007/s11708-017-0505-3

Abstract: years (2000–2004) have been collected from the Algerian National Office of Meteorology (NOM), and two spatial

Keywords： global solar radiation     statistical indicator     hybrid model     spatial database     correlation coefficients    

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Chemical mapping of cement pastes by using confocal Raman spectroscopy

Fengjuan LIU,Zhihui SUN

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 2,   Pages 168-173 doi: 10.1007/s11709-015-0323-9

Abstract: In the present study, chemical mapping on the hydration process of cement paste with water-to-cementIt is concluded from the study that chemical mapping was an effective method to assist in visualizing

Keywords： chemical mapping     Raman spectroscopy     calcium silicates     calcium hydroxide     ettringite    

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Independent continuous and mapping method of structural topology optimization based on the global stress

Yunkang SUI, Jili FENG, Hongling YE, Xirong PENG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 130-142 doi: 10.1007/s11465-010-0011-3

Abstract: four measures are adopted. 1) Topology optimization model is established by independent continuous mapping

Keywords： independent continuous mapping (ICM) method     global stresses constraints     topology optimization     continuum    

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A thermally flexible and multi-site tactile sensor for remote 3D dynamic sensing imaging

Guoting Xia, Yinuo Huang, Fujiang Li, Licheng Wang, Jinbo Pang, Liwei Li, Kai Wang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 6,   Pages 1039-1051 doi: 10.1007/s11705-019-1901-5

Abstract: It can be used to implement spatial mapping caused by tactile and thermal events and record the two-dimensionalThe output voltage and current signal are recorded as a mapping by sensing the external pressure andThrough the mapping relationship between the established piezoelectric and pyroelectric signals, the

Keywords： tactile/thermal sensor     piezoelectric/pyroelectric effects     high resolution     spatial mapping     motion monitoring    

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Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern

Wenyan Wang, Wei Ouyang, Fanghua Hao, Yun Luan, Bo Hu

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0864-8

Abstract: of regional climate warming and distribution feature of biomass resources, and then analyzed on the spatial

Keywords： change     Heilongjiang Province     China     Climate     Energy systems/technology     Other sustainability (specify)     Statistical    

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Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 123-126 doi: 10.1007/s11709-019-0582-y

Abstract: Earthquake-induced landslides are difficult to assess and predict owing to the inherent unpredictability of earthquakes. In most existing studies, the landslide potential is statistically assessed by collecting and analyzing the data of historical landslide events and earthquake observation records. Unlike rainfall-induced landslides, earthquake-induced landslides cannot be predicted in advance using real-time monitoring systems, and the development of the models for these landslides should instead depend on early earthquake warnings and estimations. Hence, in this study, factor analysis was performed and the frequency distribution method was employed to investigate the potential risk of the landslides caused by earthquakes. Factors such as the slope gradient, lithology (geology), aspect, and elevation were selected and classified as influential factors to facilitate the construction of a landslide database for the area of study.

Keywords： earthquake     factor analysis     slope landslides     statistical modeling    

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A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 185-199 doi: 10.1631/FITEE.1500251

Abstract: The photon mapping algorithm is an effective method for computing global illumination with its obviousThe deficiency of precise details and efficient rendering are still the main challenges of photon mappingof categories including radiance estimation, photon relaxation, photon tracing, progressive photon mappingThe goals of our report are giving readers an overall introduction to photon mapping and motivating further

Keywords： Global illumination     Photon mapping     Radiance estimation     Photon relaxation     Progressive photon mapping    

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and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge mapping

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1507-2

Abstract:

• The overall global perspective of the PHMCS field was obtained.

Keywords： Heavy metal-contaminated soil     Hot topics     Knowledge mapping analysis     Knowledge base     Phytoremediation    

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Analysis on the distinguishing features of traditional Chinese therapeutics and related statistical issues

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

Frontiers of Medicine 2011, Volume 5, Issue 2,   Pages 203-207 doi: 10.1007/s11684-011-0138-6

Abstract: Some statistical problems are raised based on these features.First, complex statistical methods that can analyze subjective indexes and latent variables, multidimensional

Keywords： traditional Chinese therapeutics     feature     statistic    

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Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 102-110 doi: 10.1007/s11684-013-0245-7

Abstract: Recently, a number of new statistical methods have been developed to tackle the important problem of

Keywords： dynamic treatment regimes     personalized medicine     reinforcement learning     Q-learning    

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Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 268-278 doi: 10.15302/J-FASE-2017164

Abstract: This review covers the most commonly used statistical methods and some extensions of them, i.e., ridge

Keywords： genomic estimated breeding value     genomic selection     linkage disequilibrium     statistical methods    

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Title Author Date Type Operation

State-of-the-Art Review of High-Throughput Statistical Spatial-Mapping Characterization Technology and

Haizhou Wang, Lei Zhao, Yunhai Jia, Dongling Li, Lixia Yang, Yuhua Lu, Guang Feng, Weihao Wan

Journal Article

Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Journal Article

Quantifying and mapping spatial variability of Shanghai household carbon footprints

Shangguang YANG,Chunlan WANG,Kevin LO,Mark WANG,Lin LIU

Journal Article

PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants

Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao

Journal Article

Smart model for accurate estimation of solar radiation

Lazhar ACHOUR, Malek BOUHARKAT, Ouarda ASSAS, Omar BEHAR

Journal Article

Chemical mapping of cement pastes by using confocal Raman spectroscopy

Fengjuan LIU,Zhihui SUN

Journal Article

Independent continuous and mapping method of structural topology optimization based on the global stress

Yunkang SUI, Jili FENG, Hongling YE, Xirong PENG,

Journal Article

A thermally flexible and multi-site tactile sensor for remote 3D dynamic sensing imaging

Guoting Xia, Yinuo Huang, Fujiang Li, Licheng Wang, Jinbo Pang, Liwei Li, Kai Wang

Journal Article

Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern

Wenyan Wang, Wei Ouyang, Fanghua Hao, Yun Luan, Bo Hu

Journal Article

Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Journal Article

A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Journal Article

and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge mapping

Journal Article

Analysis on the distinguishing features of traditional Chinese therapeutics and related statistical issues

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

Journal Article

Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Journal Article

Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Journal Article