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  1. 1481

    Measuring spatial - temporal of Yazd urban form using spatial metrics by saeed zanganeh

    Published 2015-04-01
    “…So, one of the most important challenges of urban planners is measuring and identifying urban development pattern in order to direct and strengthen it to sustainable pattern and right direction. …”
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    Article
  2. 1482

    Association between land use features and changes in walking patterns from pre-pandemic to post-pandemic: A case study of city of Sydney (2013–2023) by Fatemeh Nourmohammadi, Zahra Nourmohammadi, Tanapon Lilasathapornkit, Meead Saberi

    Published 2024-10-01
    “… While the impact of the pandemic on active mobility patterns is widely studied in several cities, the underlying characteristics that describe the heterogeneity in changes in active mobility are less understood. …”
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    Article
  3. 1483

    Visual vs. Spatial Contributions to Microsaccades and Visual-Spatial Working Memory by Joshua T. Gaunt, Bruce Bridgeman

    Published 2014-03-01
    “…Intervening tasks during the memory interval affected microsaccade patterns; microsaccade frequency was consistently higher during concurrent spatial tapping (no visual component) than during exposure to dynamic visual noise (no task). …”
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  4. 1484

    Analysis of the Spatiotemporal Patterns of Water Conservation in the Yangtze River Ecological Barrier Zone Based on the InVEST Model and SWAT-BiLSTM Model Using Fractal Theory: A C... by Xianqi Zhang, Jiawen Liu, Jie Zhu, Wanhui Cheng, Yuehan Zhang

    Published 2025-02-01
    “…Firstly, fractal theory is introduced to quantify the complexity and spatial heterogeneity of natural factors such as terrain, vegetation, and precipitation in the Minjiang River Basin. …”
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    Article
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    Vegetation Structure and Distribution Across Scales in a Large Metropolitan Area: Case Study of Austin MSA, Texas, USA by Raihan Jamil, Jason P. Julian, Meredith K. Steele

    Published 2025-03-01
    “…The spatial distribution of vegetation across metropolitan areas is important for wildlife habitat, air quality, heat mitigation, recreation, and other ecosystem services. …”
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  8. 1488

    Snow depth inversion and mapping at 500 m resolution from 1980 to 2020 in Northeast China using radiative transfer model and machine learning by Yanlin Wei, Xiaofeng Li, Lingjia Gu, Zhaojun Zheng, Xingming Zheng, Tao Jiang

    Published 2025-05-01
    “…Compared to existing SD products, NCSD data effectively avoid mixed pixel issues, improved SD retrieval performance, and reveal more refined snow cover spatiotemporal patterns. Additionally, the NCSD results indicated that the annual average SD in Northeast China exhibited an increasing trend from 1980 to 2020 (0.26 cm/10a, p > 0.05). …”
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  9. 1489
  10. 1490

    Coexistence of Sympatric Large Carnivores: Spatio‐Temporal Interactions Between Tigers and Leopards in Parsa National Park, Nepal by Dol Raj Thanet, Pramod Raj Regmi, Babu Ram Lamichhane, Dipanjan Naha, Caitlin Kupferman, James C. Beasley, Mandip Pangeni, Anil Shrestha, Saneer Lamichhane, Haribhadra Acharya, Bed Kumar Dhakal, Bhagawan Raj Dahal, Chiranjibi Prasad Pokheral, Naresh Subedi

    Published 2025-06-01
    “…Camera trap data obtained from 157 sampling sites (2 × 2 km grid cells) were used to assess daily temporal activity patterns, single‐species occupancy, and density of tigers and leopards using spatially explicit capture‐recapture models (SECR) to further examine their coexistence mechanism in light of the recent recovery of tiger populations in PNP. …”
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  11. 1491

    Variation in water yield of Yellow River Basin in the Gansu Section from 2000 to 2020 by ZHANG Jiangke, DAI Wenyuan, GAO Yanting, ZHANG Rui

    Published 2025-03-01
    “…【Method】The InVEST model was employed to calculate water yield, while spatial pattern analysis, trend analysis, and hot-spot and cold-spot analysis were conducted to assess distribution patterns, temporal changes, and key areas of variation in water yield. …”
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  12. 1492

    Identification of radial drainage networks based on topographic and geometric features by Liu Chengyi, Zhai Renjian, Wu Fang, Gong Xianyong, Xing Ruixing, Qiu Yue

    Published 2025-04-01
    “…The radial drainage network, which has a typical spatial distribution pattern, is a crucial component for reflecting regional geographical landscapes. …”
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  13. 1493

    High Resolution Crop Type and Rotation Mapping in Farming–Pastoral Ecotone in China Using Multi-Satellite Imagery and Google Earth Engine by Zhenwei Hou, Bangqian Chen, Yaqun Liu, Huadong Zang, Kiril Manevski, Fangmiao Chen, Yadong Yang, Junyong Ge, Zhaohai Zeng

    Published 2025-05-01
    “…The proposed method achieved high classification accuracy (overall accuracy and Kappa > 0.90), with strong agreement between mapped and statistical crop areas (R<sup>2</sup>: 0.85–0.88; RMSE: 0.42–0.58 × 10<sup>4</sup> ha). Spatial analysis revealed distinct distribution patterns: oats, potato, sesame, and vegetables were predominantly cultivated in northern Zhangjiakou, while maize dominated southern regions. …”
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  14. 1494

    Spatio-temporal evolution analysis of coupling coordination of green finance, digital economy, and carbon emission intensity in the Yangtze River Economic Belt by Yue-Yue Sui, Xing-Fu Zhang

    Published 2025-06-01
    “…Therefore, to promote sustainable economic development, it is necessary to promote GF, DIEC, and CEI in an integrated way, and there are relatively few studies on the synergistic promotion of these three aspects.MethodsUsing the entropy method, the coupling coordination degree model (CCDM), and the spatial analysis method, this study thoroughly examines the spatio-temporal pattern of the coupling and coordination of GF, DIEC, and CEI in the Yangtze River Economic Belt using panel data from 11 provinces in the region from 2013 to 2022.ResultsThe findings demonstrate that: (1) The Yangtze River Economic Belt’s general extent of GF and DIEC advancement is increasing, and the DIEC’s level exhibits a pattern of a declining gradient from the downstream to the upstream areas. (2) The Yangtze River Economic Belt’s CEI is on the decline, with the upstream region having a higher CEI than the middle and downstream regions. (3) Although there is regional diversity, the Yangtze River Economic Belt’s three systems exhibit a growing trend in connection and coordination degree. (4) The Yangtze River Economic Zone shows a declining trend in the spatial difference in the coupling coordination degree (CCD) of the three systems(overall Gini coefficient reduced by 31% from 2013 to 2022), with the upstream showing the smallest discrepancy and the downstream showing the biggest. …”
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    Systematic protection and restoration of water bodies in collapse areas based on surface runoff regulation by Shaogang LEI, Yufan XU, Mian ZHANG, Dongxing CHEN, Xia HUA, Dong GUO

    Published 2025-02-01
    “…Based on the concept of systematic protection and restoration of mountains, rivers, forests, fields, lakes, grasses, and sands, the optimization of landscape patterns in key areas, and the principle of systematic regulation of surface runoff, a new technology for the systematic protection and restoration of water bodies in collapsed areas combining "connectivity+pollution interception" is proposed. …”
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  18. 1498

    Rock-filled concrete columns under axial loads by Mohamed S. Khalafalla, Jin Feng

    Published 2025-12-01
    “…The criteria used to assess the differences between the results of experimental and numerical studies are the load capacity and crack pattern. However, in this methodology, the crack pattern does not accurately represent the underlying reasons for this discrepancy. …”
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  19. 1499

    Optimizing 2D irregular packing via image processing and computational intelligence by Longhui Meng, Liang Ding, Yunkai Pu, Xiaomeng Wang, Ray Tahir Mushtaq, Mohammed Alkahtani, Muhammad Shakeel

    Published 2025-04-01
    “…The developed method involves several key steps, including the cropping of cross-correlation matrices and strategic pattern placement, which are critical for achieving a highly compact and computationally efficient arrangement. …”
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  20. 1500

    Dynamic prediction and recommendation of museum visitors' interest based on long short-term memory network (LSTM) by Sha Nie

    Published 2025-08-01
    “…The model is trained on a rich dataset that captures sequential interaction patterns, including spatial transitions and engagement intensity, enabling personalized guidance throughout the museum experience. …”
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