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    Mapping Rosenwald Schools for African Americans in South Carolina: A Geographic Analysis of Spatial Patterns by Grayson R. Morgan, Samuel M. Otterstrom, Lane Stevenson, Allen C. Otterstrom

    Published 2024-10-01
    “…This paper analyzes the geographic patterns of the schools that were built using funds donated by Rosenwald in the state of South Carolina. …”
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    Identification of natural and anthropogenic factors in the spatial pattern of Pb in the surface soil of the Nanliu River Basin by Xu Liu, Zhongfang Yang, Huading Shi, Tiansheng Wu, Tao Yu, Bo Li, Lei Wang, Yuxiang Shao, Zexin He, Minghui Xie, Chenning Deng

    Published 2025-01-01
    “…The results indicate that the spatial pattern of soil Pb is jointly controlled by soil parent materials and anthropogenic factors, with varying degrees of influence across spatial scales. …”
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    Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic by Olga De Cos Guerra, Valentín Castillo Salcines, David Cantarero Prieto

    Published 2021-12-01
    “…The main goal is to analyse and contribute to knowledge of the spatial patterns of COVID-19 at neighbourhood level from a space-time perspective. …”
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    Evaluation of the spatial distribution pattern of animal bites in Southern Iran: implications for public health interventions by Hossein Ghazanfarpour, Mohsen Pourkhosravani, Elaheh FallahLaleh-Zari, Ehsan Movahed

    Published 2025-07-01
    “…Data related to temperature and precipitation were also obtained from the Meteorological Organization. To evaluate the spatial distribution pattern of patients with animal bites, three nearest neighbor average methods, global Moran spatial autocorrelation method, and local spatial autocorrelation method were used. …”
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    The Spatial Pattern and Influencing Factors of the Intercity Real Estate Investment Network in the Yangtze River Delta by Dai Liang, Lyu Yifan, Zheng Huibin, Li Luqi

    Published 2024-12-01
    “…Based on the equity investment data of real estate enterprises, this study constructed an intercity real estate investment network in the Yangtze River Delta for the period 2018–2022 and investigated the spatial and structural characteristics of intercity real estate investments in the region from the dimensions of node hierarchy, flow hierarchy, community pattern, and overall topology. …”
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    Spatial-temporal patterns and attribution of evapotranspiration in the Middle Yellow River Basin under changing environments by Bo Liu, Shouzhang Peng, Yongxia Ding, Qinggong Han

    Published 2025-08-01
    “…Therefore, it is urgent to investigate the contributions of climate and underlying surface changes to ET and its components variations, along with the influencing factors on spatial distribution. This study investigated the spatial-temporal patterns of ET, transpiration (T), and transpiration fraction (TF) in the MYRB and conducted an attribution analysis of their spatial distribution and temporal dynamics, utilizing the parameter-calibrated SiB2 model. …”
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    Risk Assessment and Spatial Migration Patterns of Compound Flood and Derived Landslide Disasters in Guangzhou,China by LI Xiaodi, ZHONG Ming, LI Xueyou

    Published 2023-01-01
    “…Compound floods and derived landslide disasters are frequent in estuaries under the influence of high-intensity localized heavy rainfalls and tidal level top support.This paper proposes a comprehensive method for risk assessment and spatial migration patterns of compound flood and derived landslide disasters.Meanwhile,taking Guangzhou as the study area,it constructs the index system for risk assessment of compound floods and derived landslide disasters in the city.Additionally,the weighted comprehensive evaluation method is adopted to assess the risk of multi-source compound disasters,and the spatial risk distribution pattern of the above-mentioned three types of disasters and the migration law of the disaster risk are explored based on the standard deviation ellipse method.The results are as follows:① 52.81% areas of Guangzhou are medium-high risk and high-risk ones,and the risk of composite floods and derived landslide disasters as a whole presents the characteristics of high risk in the northeast and low risk in the southwest,among which the risk of Conghua District and Zengcheng District is higher.Thus,disaster prevention and mitigation measures should be taken to reduce the disaster risks in the above areas.② The center of gravity of the risk of heavy rainfall flooding-composite flooding-composite flooding and derived landslide hazards first moves to the southwest and then to the northeast,and the disaster risk shows a southwest-northeast distribution pattern,with the first enhanced and then gradually weakened aggregation effect of disaster risks.The results can provide a scientific basis for the risk decision-making of compound disasters and disaster prevention planning.…”
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