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  1. 2981
  2. 2982

    Towards low carbon urban agglomerations: spatiotemporal characteristics and influencing factors of carbon emission intensity and network linkages in China’s urban agglomerations by Bingyao Jia, Meifang Xie, Jing Wu, Junyi Zhao

    Published 2025-08-01
    “…Notably, carbon emission linkages follow a “dense in the east, sparse in the west” pattern, with different UAs showing different characteristics of monocentric, dual-centric or dense network. …”
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    Article
  3. 2983

    Geographical space and service use in agriculture: The view from the perspective of multilayer networks by László Kovács, Viktória Szőke

    Published 2025-04-01
    “…Location theory has shown that the location of businesses follows specific patterns: primarily, the site of production, transportation costs, markets, and workforce are considered the main factors influencing business location. …”
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  4. 2984
  5. 2985

    I am here with you: an examination of factors relating to social presence in social VR by Gayoung Son, Aline Tiemann, Marius Rubo

    Published 2025-03-01
    “…These patterns were consistent across interactions using anonymous avatars and non–anonymous avatars. …”
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    Article
  6. 2986
  7. 2987

    Agroecology for the City—Spatialising ES-Based Design in Peri-Urban Contexts by Richard Morris, Shannon Davis, Gwen-Aëlle Grelet, Pablo Gregorini

    Published 2024-09-01
    “…Globally, the predominant pattern of urbanisation is dedensification, an outwardly expanding trend where cities are growing in physical extent at a higher rate than their population growth. …”
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    Article
  8. 2988

    Effect of environmental DNA sampling resolution in detecting nearshore fish biodiversity compared to capture surveys by Ben Millard-Martin, Kate Sheridan, Evan Morien, Matthew A. Lemay, Margot Hessing-Lewis, Rute B.G. Clemente-Carvalho, Jennifer M. Sunday

    Published 2024-10-01
    “…Spatial turnover of communities surveyed using beach seining differed from that of the eDNA and was better explained by factors that vary at small (10–1000s meters) spatial scales. …”
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    Article
  9. 2989

    Are Urban Green Spaces’ Attributes Relevant to Explain the Occurrence of Invasive Species Within Urban Green Infrastructure? by Mónica Andrade, Cláudia Fernandes, Albano Figueiredo

    Published 2025-07-01
    “…Despite the importance of Urban Green Infrastructure (UGI) as a provider of multiple Ecosystem Services (ESs), some concerns have been raised regarding Ecosystem Disservices (EDs) associated with UGI design and management, namely, the link between Urban Green Spaces’ (UGSs) attributes and invasion spatial patterns. This research takes the UGI of Coimbra, a medium-sized Portuguese city, as a case study to explore the relationships between UGS attributes and the occurrence of invasive plant species. …”
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  10. 2990

    Terrain and Atmosphere Classification Framework on Satellite Data Through Attentional Feature Fusion Network by Antoni Jaszcz, Dawid Połap

    Published 2025-07-01
    “…The neural architecture model takes into account different types of features by extracting them by focusing on spatial, local patterns and multi-scale representation. …”
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    Article
  11. 2991
  12. 2992

    Spatio-temporal heterogeneity and driving mechanism of ecosystem water use efficiency in the Loess Plateau, China by Feiyu Wang, Jun Xia, Lei Zou, Liping Zhang, Xiaoyang Li, Jiarui Yu

    Published 2024-12-01
    “…New hydrological insights for the region: Results indicated obvious spatial heterogeneity of WUE under different vegetation and hydro-climatic conditions. …”
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  13. 2993
  14. 2994

    Unraveling the Tourism–Environment–Equity Nexus: A Neighborhood-Scale Analysis of Texas Urban Centers by Omid Mansourihanis, Ayda Zaroujtaghi, Moein Hemmati, Mohammad Javad Maghsoodi Tilaki, Mahdi Alipour

    Published 2024-07-01
    “…The results show varying patterns across cities, with Austin presenting the lowest inequality levels and San Antonio exhibiting significant disparities. …”
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    Article
  15. 2995

    Paddy Rice Mapping in Hainan Island Using Time-Series Sentinel-1 SAR Data and Deep Learning by Guozhuang Shen, Jingjuan Liao

    Published 2025-03-01
    “…Additionally, the extracted rice distribution patterns exhibit high consistency with statistical data, further validating the model’s effectiveness in accurately delineating paddy rice areas. …”
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  16. 2996

    Improving ICESat-2 photon classification and tree height estimation using Moran's I and machine learning by Mei-Kuei Lu, Sorin Popescu, Lonesome Malambo

    Published 2025-12-01
    “…Random Forest models were developed and compared, with one model incorporating Moran's I to capture spatial patterns. The study covered 12 diverse ecoregions across the United States, including conifer forests, broadleaf forests, and savannas. …”
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    Article
  17. 2997

    Status of food insecurity and its determinants by smallholder farmers in Shashogo district, Hadiya zone, Central Ethiopia by Tamrat Lolaso, Engdawork Assef, Teshale Woldeamanuel

    Published 2024-12-01
    “…This paper addresses spatial and temporal patterns of food insecurity and its determinants factors. …”
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    Article
  18. 2998

    Optimizing ensemble learning for satellite-based multi-hazard monitoring and susceptibility assessment of landslides, land subsidence, floods, and wildfires by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Farman Ali, Biswajeet Pradhan, Soo-Mi Choi

    Published 2025-08-01
    “…Past studies have relied mainly on traditional machine learning models, but these models do not perform well for complex spatial patterns. To address this gap, this study uses two meta-heuristic algorithms (Genetic Algorithm (GA) and Particle Swarm Optimization (PSO)) to provide an optimized Random Forest (RF) model with better predictive ability. …”
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    Article
  19. 2999
  20. 3000

    Assessing the impact of social housing on urban regeneration in South African cities by Noxolo N. Ngema, Ahmed Bokhari, Sijekula L. Mbanga

    Published 2025-02-01
    “…The SHRA’s efforts have disrupted apartheid-era spatial patterns and promoted social mobility by fostering inclusive communities. …”
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    Article