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    A novel fuzzy inference method for urban incomplete road weight assignment by Longhao Wang, Xiaoping Rui

    Published 2024-11-01
    “…This method uses a Typical Link Pattern (TLP) model to describe the geographical environment. …”
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    Article
  3. 3363
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    Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge by Liyang Xiong, Yanxiang Wang, Haoyu Cao, Yingchao Ren, Sijin Li, Yang Chen, Guoan Tang

    Published 2025-01-01
    “…The distribution of craters exhibits a heterogeneous spatial pattern, with lower kernel density values in the southern hemisphere than in the northern hemisphere, and lower values in the western hemisphere than in the eastern hemisphere. …”
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    Article
  5. 3365

    Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images by Zhuting Tan, Zhengyu Tan, Juhua Luo, Hongtao Duan

    Published 2024-11-01
    “…The cotton spatial distribution pattern developed from dispersion to agglomeration. …”
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    Article
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    Unveiling intra-urban complexity and identifying urban cores through the lens of living structure using point-of-interest data by Zheng Ren, Ding Ma, Bin Jiang, Stefan Seipel

    Published 2025-07-01
    “…The resulting substructures exhibit power-law distributions and align closely with human activity patterns across multiple spatial scales in four large cities in China. …”
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    Article
  10. 3370

    Corporate mapping in OpenStreetMap – shifting trends in global evolution and small-scale effects by Lilly Tockner, Benjamin Herfort, Sven Lautenbach, Alexander Zipf

    Published 2025-05-01
    “…Previous studies have been able to identify global patterns, but their small-scale effects on other non-corporate or volunteer mappers have been difficult to quantify. …”
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    Article
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    Accurate mapping of Spartina alterniflora in Fujian Province using phenological traits derived from Landsat time series by Qingyue Zhang, Wenting Wu, Shurong Guo, Lei Wu, Tongchao Le, Xiaocheng Zhou, Lihua Wang

    Published 2025-08-01
    “…It is also found that there are three types of Spartina alterniflora expansion in spatial pattern, driven by morphology, hydrodynamic environment, and biological stress. …”
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    Article
  13. 3373

    Enhancing outlying growth simulation in urban cellular automata via intelligent extraction-fusion of land suitability and neighborhood effects: a case study of Wuhan, China by Qingyang Xu, Xuefeng Guan, Changlan Yang, Weiran Xing, Xiaoyu Chen, Huayi Wu

    Published 2025-05-01
    “…Urban growth has accelerated significantly in recent decades, categorized into two spatial patterns: adjacent and outlying growth. Traditional Cellular Automata (CA)-based models excel at simulating adjacent growth but exhibit limitations in modeling outlying growth, which can be summarized into two issues: 1) the overestimation of neighborhood effects caused by models’ excessive dependence on neighboring cell states; and 2) the ignorance of spatial heterogeneity in the relative importance of land suitability and neighborhood effects on urban growth. …”
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    Article
  14. 3374

    Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming by Zuo Zhang, Mengwei Zhang, Xiangxiang Song, Zhi Li

    Published 2025-05-01
    “…Urban road networks play a pivotal role in shaping intricate urban spatial patterns as they intricately weave throughout the cityscape, significantly influencing land utilization, spatial arrangements, and the mobility of residents. …”
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    Article
  15. 3375

    Geospatial brain-inspired navigation: a neurocognitive approach for autonomous systems in complex environments by Donghui Han, Tong Qin, Tianyu Yang, Hua Liao, Qiaosong Hei, Fangwen Yu, Bailu Si, Weihua Dong

    Published 2025-08-01
    “…Current models often rely on knowledge of the discharge patterns of navigation cells in living organisms (e.g. place/grid cells) to encode spatial information, which works well in ideal environments. …”
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    Article
  16. 3376

    How coarse analysis can obscure key trends - a multi-scale study using very high-resolution intra-urban land data by Yonglin Shen, Tianyu Yang, Xun Liang, Shuang Liu, Lihua Xia, Nengcheng Chen

    Published 2025-02-01
    “…A scale effect assessment strategy based on Spearman’s correlation analysis, Sen’s slope, and Mann-Kendall (MK) trend test was devised to analyze the patterns of change in the driver mining results with spatial resolution. …”
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    Article
  17. 3377

    Glacier surface melt monitoring using Sentinel-1 SAR backscattering coefficient and polarimetric decomposition features at Greenland ice sheet by Huimin Jiao, Gang Li, Zhuoqi Chen, Xiao Cheng

    Published 2025-06-01
    “…Compared to the National Snow and Ice Data Center (NSIDC) polar daily land freeze/thaw status product, our results revealed consistent spatial patterns of melting, showing discrepancy limited within ± 10 days, possibly due to the detecting penetration depth difference between Sentinel-1 and AMSR2.…”
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  18. 3378

    Land transformation across agroecological zones reveals expanding cropland and settlement at the expense of tree-cover and wetland areas in Nigeria by Felicia O. Akinyemi, Chinwe Ifejika Speranza

    Published 2025-05-01
    “…Evaluating how land cover is being transformed is essential to identify patterns necessary to infer the change trajectories and the driving factors. …”
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    Article
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