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  1. 521

    A Global Review of Monitoring Cropland Abandonment Using Remote Sensing: Temporal–Spatial Patterns, Causes, Ecological Effects, and Future Prospects by Tao Liu, Le Yu, Xiaoxuan Liu, Dailiang Peng, Xin Chen, Zhenrong Du, Ying Tu, Hui Wu, Qiang Zhao

    Published 2025-01-01
    “…Using remote sensing methodologies to uncover the temporal–spatial patterns of cropland abandonment (CA) offers substantial advantages at both macro scales and in real time. …”
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    Article
  2. 522

    Simulating Land Use and Evaluating Spatial Patterns in Wuhan Under Multiple Climate Scenarios: An Integrated SD-PLUS-FD Modeling Approach by Hao Yuan, Xinyu Li, Meichen Ding, Guoqiang Shen, Mengyuan Xu

    Published 2025-07-01
    “…Accurately predicting and scientifically evaluating the evolution of land use patterns is essential to advancing territorial spatial governance and achieving ecological security goals. …”
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    Article
  3. 523

    Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

    Published 2024-12-01
    “…However, the immunological pattern of a high peritumoral TLS (pTLS) density and its clinical potential in hepatocellular carcinoma (HCC) remain poor. …”
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    Article
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    Bridging the ecosystem service supply-demand imbalance: Spatial flow patterns and driving forces in the Yangtze River midstream urban agglomeration, China by Xiaowen Zhou, Xuesong Zhang, Hongjie Peng, Wei Ren, Qiuyu Zou

    Published 2025-06-01
    “…Rapid urbanization has intensified ecosystem service (ES) supply–demand imbalances in urban agglomerations, particularly for food production (FP), water yield (WY), and carbon sequestration (CS). This study analyzes spatial flow patterns and driving forces of these critical services in China’s Yangtze River Midstream Urban Agglomeration (YRMA, 2000–2020). …”
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    Article
  7. 527

    Solar and Wind 24 H Sequenced Prediction Using L-Transform Component and Deep LSTM Learning in Representation of Spatial Pattern Correlation by Ladislav Zjavka

    Published 2025-07-01
    “…Node-by-node feature selection and dynamical PDE representation of DfL are evaluated along with long-short-term memory (LSTM) recurrent processing of deep learning (DL), capturing complex spatio-temporal patterns. Parametric C++ executable software with one-month spatial metadata records is available to compare additional modelling strategies.…”
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    Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security by Raydonal Ospina, Alexsandra Gomes De Lima, Cristiano Ferraz, Cecilia Castro, Carlos Martin-Barreiro, Victor Leiva

    Published 2025-01-01
    “…This study investigates how spatially constrained clustering can reveal actionable crime patterns to support public security planning. …”
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    Article
  11. 531

    Tracking 3D Drought Events Across Global River Basins: Climatology, Spatial Footprint, and Temporal Changes by Xin Feng, Zhaoli Wang, Xushu Wu, Shengzhi Huang, Jun Li, Chengguang Lai, Zhaoyang Zeng, Guosheng Lin

    Published 2025-02-01
    “…Abstract Understanding the spatial and temporal patterns of drought is essential for mitigating drought‐induced impacts. …”
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    Article
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    Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow by Xiaoxiao Wang, Haiping Zhang, Zitong Li, Xin Yang, Ziyi Qian, Duo Bian, Yongxin Zhao

    Published 2025-01-01
    “…This research focuses on cities in China, analyzing the spatial patterns and factors that affect city influence using spatial statistical methods. …”
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    Article
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