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  1. 81
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    Spatial-temporal Evolution and Driving Factors of Ecological Environment Quality in Weihe River Basin Based on Remote Sensing Ecological Index by Wu Mengyue, Li Yu

    Published 2025-01-01
    “…A combination of analytical techniques, including trend analysis, variability assessment, and spatial interaction modeling, was used to evaluate ecological quality. …”
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    Article
  3. 83
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    Bus Network Adjustment Pre-Evaluation Based on Biometric Recognition and Travel Spatio-Temporal Deduction by Qingbo Wei, Nanfeng Zhang, Yuan Gao, Cheng Chen, Li Wang, Jingfeng Yang

    Published 2024-11-01
    “…Traditional simulation methods, however, face limitations in identifying passengers and understanding how their travel patterns may change. To address this issue, a pre-evaluation method has been developed, leveraging the spatial distribution of bus networks and the spatio-temporal behavior of passengers. …”
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  5. 85

    Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China by Haoran Yin, Zhidong Zhu, Liurong Pan, Fangyang Zhu, Xuehua Wu

    Published 2025-06-01
    “…Based on a comprehensive evaluation index system for regional economic resilience and port logistics development, this study employs multiple methodologies including coupling coordination degree model, kernel density estimation, gravity center model, spatial autocorrelation model, and geographic detector model to explore the spatialtemporal evolution patterns and driving factors of coupling coordination between regional economic resilience and port logistics in the Guangxi Beibu Gulf Economic Zone from 2012 to 2022. …”
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  6. 86

    Spatial and temporal evolution of ecotourism development level and its driving factors under the perspective of sustainable development: the case of Ili river valley. by Pengkai Zhao, Haojie Sun, Jiangling Hu, Xinyu Zhao, Changying Song, Xueting Xu

    Published 2025-01-01
    “…Using the standard deviation ellipse, classic Markov chain, and spatial Markov chain, the temporal and spatial evolution characteristics are examined. …”
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    A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder by Shihao Pan, Tongyuan Shen, Yongxiang Lian, Li Shi

    Published 2024-12-01
    “…Methods: We propose an innovative algorithm for analyzing task-related EEG microstates based on spatial patterns, Riemannian distance, and a modified deep autoencoder. …”
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    Ventilation Optimization Based on Spatial-Temporal Distribution and Removal Efficiency of Patient-Exhaled Pollutants in Hospital Wards During the Post-Epidemic Period by Min Chen, Qingyu Wang

    Published 2024-11-01
    “…A discrete phase model (DPM) is employed to simulate the spatial-temporal dispersion characteristics of four different particle sizes (3 μm, 12 μm, 20 μm, and 45 μm) exhaled by the infected patient (Patient 1) over 300 s. …”
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  11. 91

    Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic by Adrian Nicoll, Jackie Dawson, Jérôme Marty, Michael Sawada, Luke Copland

    Published 2025-06-01
    “…Covering the years 2011 to 2022, the analysis assesses spatial and temporal metrics for each dataset while employing robust data cleaning techniques to address signal manipulation and detection gaps. …”
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    Article
  12. 92

    Study on the incremental carbon sink of tea plantations under spatio-temporal variation characteristics by Yaxiang Pan, Yaxiang Pan, Jingling Bao, Jingling Bao, Yuxuan Ji, Yuxuan Ji, Wen Li, Wen Li, Weiyu Lin, Shuisheng Fan, Shuisheng Fan, Shuisheng Fan, Liyu Mao, Liyu Mao

    Published 2025-03-01
    “…It is of great significance to clarify the spatial and temporal patterns of carbon sinks in tea plantations, and to analyse the driving factors of carbon sinks in tea plantations, in order to understand the characteristics of carbon sinks in tea plantations, and to expand the ways of increasing carbon sinks in tea plantations. …”
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  13. 93

    Spatial and temporal distribution of potentially toxic elements and human health risk assessment in the gold mining area of Santa Rosa, Southern Ecuador by Cindy Goyburo-Chávez, Karla Villamar-Marazita, Cristhian Aguilar-Aguilar, Ana Gonzalez-Valoys, Samantha Jiménez-Oyola

    Published 2025-08-01
    “…However, it also poses significant public health and environmental challenges. This study evaluates the presence of potentially toxic elements (PTEs) in water bodies in the Santa Rosa mining area, aiming to determine the spatial and temporal distribution of PTEs, as well as quantify the health risk for individuals who use the rivers for recreational purposes. …”
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  14. 94

    An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach by Jing Deng, Michael R. Desjardins, Eric M. Delmelle

    Published 2019-04-01
    “…The common approach to detect changes in landscape patterns is to evaluate the spatial and temporal variation of well known, established metrics. …”
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  15. 95

    A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

    Published 2025-06-01
    “…The model is trained here, using data from ten stations in Texas, enabling it to capture both spatial and temporal patterns in atmospheric behavior. …”
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    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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    Spatio-temporal Variation of Landuse Carbon Budget and Carbon Compensation Zoning in Beibu Gulf Urban Agglomeration Area by Wang Zhengqiang, Qin Menglin, Tang Shibin, Zhao Yincheng, Pang Yayue, Gong Yuanhong

    Published 2022-10-01
    “…[Objective] The evolution characteristics and coupling coordination relationship between the spatial scale of cities, and the spatiotemporal pattern of the carbon budget in urban agglomeration areas were analyzed, and a regional evaluation system for carbon compensation was constructed in order to provide a reference for implementing strategies at the urban agglomeration level to achieve the goal of carbon neutrality. …”
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