Showing 281 - 300 results of 8,181 for search 'Spatial analyzed', query time: 0.17s Refine Results
  1. 281

    Spatial autocorrelation of soybean plant populations and physical attributes of Oxisol by Job T. de Oliveira, Fábio H. R. Baio, Eder E. da Silva, Suzany S. de Moura, Domingos S. Valente, Paulo E. Teodoro

    Published 2023-12-01
    “…Thus, the objective of this study was to analyze the distribution and spatial autocorrelation of the soybean plant population according to the spatial variability of the physical and chemical attributes of Oxisol in the Brazilian Cerrado region. …”
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    Article
  2. 282

    Spatial-Frequency Azimuthally Stable Cartography of Biological Polycrystalline Networks by V. A. Ushenko, N. D. Pavlyukovich, L. Trifonyuk

    Published 2013-01-01
    “…Thereupon, the method of azimuthally stable spatial-frequency cartography of biological tissues histological sections has been elaborated. …”
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  3. 283

    Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution by Yichen Wu, Zhihua Zhang, M. James C. Crabbe, Lipon Chandra Das

    Published 2022-01-01
    “…The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales. …”
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    Article
  4. 284

    Spatial distribution of innovation activities in Czech Republic, 2010-2012 by Marek Vaculík, Vít Pászto, Barbora Švarcová

    Published 2017-05-01
    “…Thus, it is vital to analyze and evaluate innovation activities, whether they are dispersed or concentrated in space. …”
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    Article
  5. 285

    Bayesian Inference for Spatial Beta Generalized Linear Mixed Models by L. Kalhori Nadrabadi, M. Mohhamadzadeh

    Published 2018-04-01
    “…In this paper, a beta generalized linear mixed model with spatial random effect is proposed emphasizing on small values of the spatial range parameter and small sample sizes. …”
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    Article
  6. 286

    Analysis for Spatial Heterogeneity of Water Quality of Rivers in Mingcheng Town by ZHOU Xuexin, ZHAO Xiaochen, ZHANG Shu, GE Xiaoxia

    Published 2020-01-01
    “…To protect and improve the water environment,this paper takes rivers and Gaoming river in Mingcheng Town as research objects,researches the current status of the water environment of 36 monitoring sections,analyzes the spatial variation of six water quality indexes i.e.DO,COD<sub>Mn</sub>,COD,BOD<sub>5</sub>,NH<sub>3</sub>-N and TP by GIS technique and mathematical statistics method,and discusses the influence of land use types on spatial variation of water quality.The results of research show that:the overall water quality of rivers in Mingcheng Town was poor.Water quality indexes showed significantly spatial variation,and the coefficient of variation of NH<sub>3</sub>-N and TP was higher than other water quality indexes.In terms of space,compared with other research units,R7 water quality was poorer.Part of the water quality indexes showed obvious spatial concentration and positive spatial autocorrelation.In wet season,there was a significant correlation between land use types such as vegetation,cultivated land and water area and water quality indexes.The agricultural runoff pollution and aquaculture pollution may be the important factors that affect water quality.In dry season,there was no obvious correlation of land use types with water quality indexes.The poor water quality may be caused by the domestic pollution sources,industrial pollution sources and agricultural non-point sources.…”
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  7. 287

    Trajectory Planning for Autonomous Vehicles at Intersections Based on the Spatial Structure by Jiangyan Gu, Shan He, Yu Li, Qunzhi Shi, Shen Ying

    Published 2025-01-01
    “…Our approach decomposes the problem into path planning and speed planning. First, we analyze and classify the intersection’s spatial structure components that affect planning into visible and invisible elements. …”
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  8. 288

    Planned spatial arrangement of high-speed railway lines in Poland by Juliusz Engelhardt

    Published 2022-11-01
    “…In the further part of the article, after a critical analysis of the assumed spatial and geographical routes of new high-speed lines Warsaw - Łódź - Poznań / Wrocław, the CPK - Płock - Grudziądz - Gdańsk line and the designed sections of high-speed lines for the CPK - Rzeszów transport route, specific corrections of their spatial routes are proposed. …”
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  9. 289

    Role of Diffuser Autocorrelation and Spatial Translation in Computational Ghost Imaging by Yishai Albeck, Shimon Sukholuski, Orit Herman, Talya Arusi-Parpar, Sharon Shwartz, Eliahu Cohen

    Published 2025-06-01
    “…In this work, we wish to examine how the relation between the diffuser’s autocorrelation length and its spatial displacement affects the quality of image reconstruction obtained with these methods. …”
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  10. 290
  11. 291

    Multimodal spatial transcriptomic characterization of mouse kidney injury and repair by Qiao Xuanyuan, Haojia Wu, Hemalatha Sundaramoorthi, Pierre Isnard, Changfeng Chen, Waleed Rahmani, Benjamin D. Humphreys

    Published 2025-08-01
    “…Utilizing high-resolution Xenium and whole transcriptome Visium spatial transcriptomics platforms, we analyze over a million cells on 12 male mouse kidneys across six stages of renal injury and repair. …”
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  12. 292

    The Determinants and Spatial Interaction of Regional Carbon Transfer: The Perspective of Dependence by Yatian Liu, Hongchang Li, Qiming Wang

    Published 2025-06-01
    “…Based on the spatial interaction theoretical framework and a multiregional input–output (MRIO) model, we analyze the spatial dependence characteristics of interregional carbon transfer in China. …”
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  13. 293

    Spatial variability of physical atributes of a Spodosol and sugarcane yield by Diego H. S. de Souza, Ênio F. de F. e Silva, Antonio Paz-González, Glécio M. Siqueira, Jucicléia S. da Silva, Daniel da C. Dantas

    Published 2023-03-01
    “…The objective of this study was to evaluate the influence of the spatial variability of the physical attributes of a Spodosol on sugarcane yield. …”
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  14. 294

    Phylogenetic analysis and the spatial spread of arctic rabies virus in Chukotka by Sergey A. Chupin, Aleksandr D. Botvinkin, Ivan D. Zarva, Elena V. Chernyshova

    Published 2024-12-01
    “…The aim of the current study is to analyze and document the genetic characteristic and spatial spread of the RABV on the Chukchi Peninsula in comparison with the same in Alaska and other Arctic territories and regions. …”
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  15. 295

    Development of a neural network model for spatial data analysis by E. O. Yamashkina, S. A. Yamashkin, O. V. Platonova, S. M. Kovalenko

    Published 2022-10-01
    “…The presented solution to the problem of improving the accuracy of spatial data analysis and classification is based on a geosystem approach for analyzing the genetic homogeneity of territorial-adjacent entities of different scales and hierarchies. …”
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  16. 296

    Investigating Temporal and Spatial Variation of Jupiter’s Atmosphere with Radio Observations by Joanna Hardesty, Chris Moeckel, Imke de Pater

    Published 2025-01-01
    “…Spatial variations in brightness temperature, as observed at radio wavelengths, indicate dynamics in the atmosphere as they trace spatial fluctuations in radio-absorbing trace gases or physical temperature. …”
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  17. 297
  18. 298

    Spatial differentiation and endogenous driving mechanisms of China’s energy transition by WANG Qi, MA Li

    Published 2024-09-01
    “…[Objective] To facilitate the achievement of China’s dual carbon goals and advance energy transitions tailored to local conditions across provinces, it is crucial to clarify the spatial differentiation patterns of energy transitions at the provincial level in China and identify the endogenous driving factors and their varying effects. …”
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  19. 299

    Carbon Lock-In Mechanisms in Transport Infrastructure and Temporal Spatial Dynamics by Yinghui Zhang, Yun Chen, Kai Li, Yong Wu, Chongsen Ma

    Published 2025-05-01
    “…This study, situated within the context of building energy and systems environments, examines the spatial and temporal dynamics of carbon lock-in across Chinese provinces over the past decade. …”
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  20. 300

    Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

    Published 2025-04-01
    “…Initially, the deep learning model is trained and optimized by collecting and analyzing well-logging data, including key parameters such as acoustic time difference and density. …”
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