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  1. 81

    A Fish-Counting Method Using Fusion of Spatial Sensing and Temporal Information by Zhaozhi Wu, Xinze Zheng, Yi Zhu, Longhao Wu, Congcong Li, Qiang Tu, Fei Yuan

    Published 2024-12-01
    “…Finally, by fusing spatial and temporal feature information and employing a data-driven approach, we achieve fish counting while avoiding potential issues arising from improper selection of statistical distribution models. …”
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    Article
  2. 82

    Spatial networks reveal how forest cover decreases the spread of agricultural pests by Débora C. Rother, Leandro G. Cosmo, Julia Tavella, Fredric M. Windsor, Mariano Devoto, Darren M. Evans, Paulo R. Guimarães Jr.

    Published 2025-04-01
    “…By adjusting parameters such as pest mobility, and interaction with landscape features, our model can simulate different agricultural systems and pest behaviors, showing that forest cover can be used to control pest occurrence and that direct and indirect pathways in spatial networks can be used as a predictive tool to manage the pest spread in agricultural landscapes.…”
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  3. 83

    Spatial Accuracy Evaluation for Mobile Phone Location Data With Consideration of Geographical Context by Xiaoqing Song, Yi Long, Ling Zhang, David G. Rossiter, Fengyuan Liu, Wei Jiang

    Published 2020-01-01
    “…The RF model constructed in this study can be used to evaluate the spatial accuracy of MPL data and simulate the spatial distribution of the positioning bias of the MPL data covering the study area.…”
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    Article
  4. 84

    Evaluation of Public Transport-Based Accessibility to Health Facilities considering Spatial Heterogeneity by Yuliang Zhang, Wenxiang Li, Haopeng Deng, Ye Li

    Published 2020-01-01
    “…However, the imbalanced spatial distribution of health facilities may lead to an inaccurate evaluation of the accessibility, which is shaped by both land use and transportation. …”
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    Article
  5. 85

    Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

    Published 2025-04-01
    “…The results showed that the XGBoost model outperformed the WorldPop dataset in accuracy across all grid scales, with determination coefficients (R<sup>2</sup>) consistently exceeding 0.83. …”
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    Article
  6. 86

    Benthic foraminiferal diversity in the Arabian Gulf: spatial patterns in a basin-wide assessment. by Abduljamiu Olalekan Amao, Khalid Al-Ramadan, Michael Kaminski, Fabrizio Frontalini

    Published 2025-01-01
    “…Using an ensemble of species distribution models, we modelled the spatial patterns of individual species and stack these predictions to estimate foraminiferal species richness across the basin. …”
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    Article
  7. 87

    Geostatistics and Artificial Intelligence Applications for Spatial Evaluation of Bearing Capacity after Dynamic Compaction by Rodney Ewusi-Wilson, Junghee Park, Boyoung Yoon, Changho Lee

    Published 2022-01-01
    “…Results show that RF spatial interpolation techniques outperform traditional geostatistical methods. …”
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    Article
  8. 88

    Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data by Thong Nguyen Hoang, Van Tran Thi

    Published 2025-01-01
    “…From there, we mapped the spatial distribution of parameters and trophic state according to TSI in the entire Dau Tieng Reservoir based on the spectral values from remote sensing algorithms and regression models. …”
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    Article
  9. 89

    ATKIS-DLM-KG: a unified knowledge graph framework for integrating and querying fragmented topographic-cartographic data in the German digital landscape model by Guohui Xiao, Diluxan Sathalingam, Albulen Pano, Yu Feng, Linfang Ding

    Published 2025-08-01
    “…These datasets serve as critical references for fundamental tasks, such as cartography, spatial planning, and spatial resource management. …”
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    Article
  10. 90
  11. 91

    Bilinear Magnitude‐Frequency Distributions and Characteristic Earthquakes During Hydraulic Fracturing by Nadine Igonin, Megan Zecevic, David W. Eaton

    Published 2018-12-01
    “…Abstract Previous studies show that a temporal drop in the b value (slope) of magnitude‐frequency distributions observed during hydraulic‐fracturing operations could signify the activation of a preexisting fault system. …”
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  12. 92
  13. 93

    Multi-Scale Differentiated Network with Spatial–Spectral Co-Operative Attention for Hyperspectral Image Denoising by Xueli Chang, Xiaodong Wang, Xiaoyu Huang, Meng Yan, Luxiao Cheng

    Published 2025-08-01
    “…However, existing methods suffer from limitations in effectively integrating multi-scale features and adaptively modeling complex noise distributions, making it difficult to construct effective spatial–spectral joint representations. …”
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  14. 94

    Temporal and Spatial Evolution of Public–Private Partnership (PPP) Project Risks in China: 2003–2019 by Yanwei Wang, Lili Gong, Shanfeng Zheng, Xiaoqing Han, Jiajin Zhang, Yi Huang

    Published 2024-01-01
    “…Then the spatial variation, standard deviation ellipse, and gray dynamic model were used to analyze the spatial–temporal dynamic evolution characteristics of the risk level of PPP projects from 2003 to 2019 and to make reasonable predictions of the future spatial distribution pattern. …”
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  15. 95

    Advanced quantification pipeline reveals new spatial and temporal tumor characteristics in preclinical multiple myeloma by Zhixin Sun, Jacqueline M. Godbe, Alexander Zheleznyak, Brad Manion, Junhao Hu, Julie L. Prior, Kathleen Duncan, Ulugbek S. Kamilov, Monica Shokeen

    Published 2025-07-01
    “…We applied this MM-specific preclinical pipeline to analyze tumor distribution in a longitudinal molecular PET study using an immunocompetent mouse model of skeletally disseminated MM. …”
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  16. 96

    Deciphering the tumor immune microenvironment: single-cell and spatial transcriptomic insights into cervical cancer fibroblasts by Zhiheng Lin, Youwei Zhou, Zhenran Liu, Wenyang Nie, Hengjie Cao, Shengnan Li, Xuanling Li, Lijun Zhu, Guangyao Lin, Yanyu Ding, Yi Jiang, Zuxi Gu, Lianwei Xu, Zhijie Zhao, Huabao Cai

    Published 2025-07-01
    “…Multiplex immunofluorescence and immunohistochemical analyses were performed on both cultured cells and human cervical cancer tissue samples to characterize the spatial distribution and dynamic remodeling of MYH11 during stromal reorganization. …”
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  17. 97

    STF-LPPVA: Local Privacy-Preserving Method for Vehicle Assignment Based on Spatial–Temporal Fusion by Lei Tang, Zhengxin Cao, Xin Zhou, Junzhe Zhang, Junchi Ma

    Published 2025-01-01
    “…To address this, we propose a local privacy-preserving vehicle assignment strategy via spatial–temporal fusion (STF-LPPVA). Specifically, the strategy allows the cloud platform to train and distribute a spatial–temporal representation model to the user side. …”
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  18. 98

    Spatiotemporal characteristics and spatial heterogeneity of influencing factors in China’s urbanization process: based on nighttime light remote sensing data by Zhou Ren, Cancan Zhang, Long Fan, Xiaonan Zhao

    Published 2025-08-01
    “…Spatially, it exhibits a distribution pattern shifting from concentration to dispersion and from a single center to multiple centers. (2) The urbanization process in China exhibits a significant spatial correlation. …”
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  19. 99

    Seasonal Temperature Distributions and Variations in Salt Marshes: Field Investigation and Numerical Simulation by Xiayang Yu, Xinghua Xu, Lucheng Zhan, Haifeng Cheng, Pei Xin

    Published 2024-08-01
    “…This study conducted a yearlong field and modeling investigation to examine temporal and spatial temperature variations in a creek‐marsh section under estuarine and meteorological influences. …”
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  20. 100

    Identification and land-Environment analysis of centralized photovoltaic stations in the arid northwest region of China by Yiyang Chen, Li Zhang, Min Yan, Yin Wu, Yuqi Dong, Wei Shao, Qinglan Zhang

    Published 2025-08-01
    “…A hierarchical extraction method combining RegNet and SAM models achieved 91.89% accuracy in PV station identification, while also showing a broader extraction coverage compared to existing datasets. …”
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