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Yi Zhang, Zheng Tian, Jiacheng Du and Shibo Bi
Assessment of the spatial distribution and accessibility of traditional villages is closely related to their development. However, the impacts of spatial heterogeneity on the accessibility of traditional villages remain largely unknown. A total of 644 na...
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Sicong Liu, Yinbao Zhang, Jianzhong Liu, Xinjia Zhang and Xiaoshuang Huang
Myanmar is among the regions with the most frequent activities of International Non-Government Organizations (INGOs). Analyzing the spatio-temporal patterns of these activities holds crucial importance for optimizing organizational coordination and enhan...
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Li Tan, Jiayi Jiang, Meng Guo and Yujia Zhong
Land use types other than specialized athletic fields provide a variety of jogging environments, addressing the shortage of urban fitness facilities and promoting urban health as well as sustainability. Currently, there is limited research comparing the ...
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Qingyan Wang, Longzhi Sun and Xuan Yang
Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understandin...
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Xiaojin Huang, Renzhong Guo, Xiaoming Li, Minmin Li, Yong Fan and Yaxing Li
Understanding the economic impact of COVID-19 is the foundation for formulating targeted policies promoting economic recovery. This study uses panel data of the county economy in the Guangdong?Hong Kong?Macao Greater Bay Area (GBA) from 2017 to 2022. Fir...
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Avijit Sarkar, James B. Pick and Shaista Jabeen
This paper examines spatiotemporal patterns and socioeconomic influences on host participation in Airbnb?s short-term rental (STR) marketplace in San Francisco during the years 2019?2022, a four-year period that spans the COVID-19 pandemic. This provides...
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Yan Chen and Chunchun Hu
Accurate prediction of fine particulate matter (PM2.5) concentration is crucial for improving environmental conditions and effectively controlling air pollution. However, some existing studies could ignore the nonlinearity and spatial correlation of time...
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Shuai Sun and Haiping Zhang
Spatial autocorrelation analysis is essential for understanding the distribution patterns of spatial flow data. Existing methods focus mainly on the origins and destinations of flow units and the relationships between them. These methods measure the auto...
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Venera Timiryanova, Irina Lakman, Vadim Prudnikov and Dina Krasnoselskaya
The price of market products is the result of the interaction of supply and demand. However, within the same country, prices can vary significantly, especially during crisis periods. The purpose of this study is to identify patterns in the changing spati...
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Qi Liu, Jiajun Qiao, Dong Han, Mengjuan Li and Liangxiao Shi
Cultivated land is a vital factor in agricultural production but faces multiple challenges, including declining total area, spatial transformation, and ecological degradation. It is imperative to enhance cultivated land use eco-efficiency (CLUE). This st...
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