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  1. 2741

    Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021 by Thanakrit Yoongsomporn, Alvin Christopher Galang Varquez, Sunkyung Choi, Makoto Okumura, Shinya Hanaoka, Manabu Kanda

    Published 2025-02-01
    “…In this study, daytime human mobility was quantified based on the inflow and outflow of population in 500 × 500 m spatial grids using a processed version of the hourly DOCOMO Mobile Spatial Statistics (MSS) dataset. …”
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    Article
  2. 2742

    Dynamic land-cover maps in the Guangdong-Hong Kong-Macao Greater Bay Area at 30 m spatial resolution, 2000-2022 by Yue Li, Qiang Liu, Shuang Chen, Lingfeng Lv, Xinpei Han, Run Jia, Lingchen Bu, Xiaotong Zhang

    Published 2025-08-01
    “…Therefore, this study generates a publicly accessible dynamic land-cover dataset for the GBA spanning 2000–2022, with a 30-meter spatial resolution and a 15-day temporal resolution. …”
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  3. 2743

    Quantifying Root Cohesion Spatial Heterogeneity Using Remote Sensing for Improved Landslide Susceptibility Modeling: A Case Study of Caijiachuan Landslides by Zelang Miao, Yaopeng Xiong, Zhiwei Cheng, Bin Wu, Wei Wang, Zuwu Peng

    Published 2025-07-01
    “…This study investigates the influence of root cohesion spatial heterogeneity on rainfall-induced landslide distribution across the Loess Plateau, addressing limitations in existing methods that oversimplify root reinforcement. …”
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    Article
  4. 2744

    Systematic Analysis of Commuting Behavior in Italy Using K-Means Clustering and Spatial Analysis: Towards Inclusive and Sustainable Urban Transport Solutions by Mahnaz Babapourdijojin, Maria Vittoria Corazza, Guido Gentile

    Published 2024-11-01
    “…K-means clustering was used to identify distinct behavioral patterns among commuters, revealing four clusters based on demographic factors and transport preferences, such as age, gender, family circumstances, vehicle ownership, willingness to walk, ride bicycles, or e-scooters, and reasons for mode choice. …”
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    Article
  5. 2745

    SSBAS-InSAR: A Spatially Constrained Small Baseline Subset InSAR Technique for Refined Time-Series Deformation Monitoring by Zhigang Yu, Guanghui Zhang, Guoman Huang, Chunquan Cheng, Zhuopu Zhang, Chenxi Zhang

    Published 2024-09-01
    “…This is crucial for studying surface deformation trends and patterns and for preventing related disasters.…”
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    Article
  6. 2746
  7. 2747

    Comparative analysis of soil organic carbon across different land types in plateau wetlands using Kriging interpolation based on spatial heterogeneity. by Ximei Wen, Wenmin Luo, Xiuyuan Yang, Fupeng Li, Zhenming Zhang

    Published 2025-01-01
    “…Wetlands, as an important global carbon reservoir, contribute significantly to the terrestrial carbon cycle. However, the high spatial heterogeneity of wetland ecosystems poses a considerable challenge to accurate estimation and mapping of soil organic carbon (SOC). …”
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    Article
  8. 2748

    Determining spatial units for modeling regional nonnative invasive plant species spread in the southern US forestlands: using the state of Alabama as an example by Sunil Nepal, Martin A. Spetich, Zhaofei Fan

    Published 2024-01-01
    “…Invasion indices were calculated for all spatial units based on NNIPS' presence/absence and average cover in each plot. …”
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    Article
  9. 2749
  10. 2750
  11. 2751

    Moran’s <i>I</i> and Geary’s <i>C</i>: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases by Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan

    Published 2025-04-01
    “… The COVID-19 outbreak has precipitated severe occurrences on a global scale. Hence, spatial analysis is crucial in determining the relationships and patterns of geospatial data. …”
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  12. 2752

    FOREST FIRE ANALYSIS FROM PERSPECTIVE OF SPATIAL-TEMPORAL USING GSTAR (p;λ_1,λ_2,…,λ_p) MODEL by Hesty Pratiwi, Nurfitri Imro'ah, Nur'ainul Miftahul Huda

    Published 2025-04-01
    “…We chose the GSTAR model because of its ability to model spatial interactions between locations and temporal change patterns over time. …”
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    Article
  13. 2753

    Spatial analysis of granting of social welfare benefits to people with gastrointestinal Chagas disease in Brazil, 2004-2016: a time series study by Jean Ezequiel Limongi, Keile Aparecida Resende Santos, Izabela Lima Perissato, Rivaldo Mauro Faria

    Published 2025-06-01
    “…Abstract Objective To analyze patterns of spatial association in the granting of social welfare benefits to individuals with gastrointestinal Chagas disease in Brazil in the period 2004-2016. …”
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    Article
  14. 2754

    Seasonal analysis of spatial and temporal variations in NDVI and its driving factors in Inner Mongolia during the vegetation growing season (1999–2019) by Jinting Guo, Jinting Guo, Weijie Liao, Hasi Qimuge, Hasi Qimuge, Youjie Xu, Jingyuan Wang, Narisu

    Published 2025-04-01
    “…This study investigates the spatiotemporal patterns of the Normalized Difference Vegetation Index (NDVI) during the growing season (1999–2019) and explores its relationship with climatic factors to predict future vegetation changes. …”
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    Article
  15. 2755

    A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

    Published 2024-12-01
    “…Differentiated spatiotemporal patterns were found in the evolutionary trajectories of MUPS in China, with a progressive intensification in the degree of spatial decentralization. …”
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  16. 2756
  17. 2757

    Single-cell and spatial transcriptomic analyses revealing tumor microenvironment remodeling after neoadjuvant chemoimmunotherapy in non-small cell lung cancer by Xiaolu Cui, Siyuan Liu, He Song, Jingjing Xu, Yanbin Sun

    Published 2025-04-01
    “…The present study aims to examine the impact of chemoimmunotherapy in NSCLC patients, with a view to identifying key molecules, critical cell subpopulations, communication patterns and spatial distributions that potentially correlate with therapeutic sensitivity. …”
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    Article
  18. 2758

    Spatial and temporal characteristics of water conservation services and rapid response framework for water yield in key ecological zones of the Yiluo River basin by Junqiang Xu, Fan Wang, Chao Ren, Jianmin Bian, Tao Li, Zikai Ping

    Published 2025-08-01
    “…Study focus: In this study, we analyzed the spatial and temporal patterns of water yield and the main influencing factors of the Yiluo River Basin based on the water yield response framework constructed by the SWAT model and the intelligent optimization algorithm. …”
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    Article
  19. 2759

    Spatial heterogeneity of cultural ecosystem services in grand canal rural heritage sites: A community gradient framework using participatory mapping by Xin Jiang, Xi Chen, Qinghai Zhang, Yutao Li, Mingrui Wang, Yongjun Li, Xing Xiong, Xiaoning Wu, Xin Li, Yujia Zhong, Yong Lu

    Published 2025-09-01
    “…To address this gap, this study proposes a multidimensional framework that integrates participatory mapping, semi-structured interviews, and mixed spatial analytical techniques for analyzing rural CES distribution patterns and their associations with landscape features across community gradients. …”
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  20. 2760

    Pollen–pistil interactions in divergent wide crosses lead to spatial and temporal pre-fertilization reproductive barrier in flax (Linum usitatissimum L.) by Vijaykumar Kailasrao Raut, Aneeta Yadav, Vikender Kaur, Mahesh Rao, Pooja Pathania, Dhammaprakash Wankhede, Mamta Singh, Gyanendra Pratap Singh

    Published 2025-02-01
    “…The complexity of interspecific hybridization was observed in terms of arrest of pollen tube (PT) growth in the ovary, ruptured, twisted and swollen pollen tube tip, tube growth in reverse direction, convoluted and terminated growth patterns. Inconsistent growth rates of pollen tubes to reach various stylar regions emphasizes the importance of studying these wild relatives for potential agricultural advancements. …”
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    Article