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A. Federico Ogas-Mendez and Yuzuru Isoda
The spatial fragmentation in the housing market and the growth of squatter settlements are characteristic for the metropolitan areas in developing countries. Over the years, in large cities, these phenomena have been promoting an increase in the spatial ...
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Aini Zhong, Yukun Wu, Ke Nie and Mengjun Kang
As an important data source for historical geography research, toponyms reflect the human activities and natural landscapes within a certain area and time period. In this paper, a novel quantitative method of reconstructing historical river networks usin...
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Yi Yang, Jiping Liu, Shenghua Xu and Yangyang Zhao
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Sihan Ni, Zhongyi Wang, Yuanyuan Wang, Minghao Wang, Shuqi Li and Nan Wang
Geographically neural network weighted regression is an improved model of GWR combined with a neural network. It has a stronger ability to fit nonlinear functions, and complex geographical processes can be modeled more fully. GNNWR uses the distance metr...
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Dongchao Wang, Yi Yang, Agen Qiu, Xiaochen Kang, Jiakuan Han and Zhengyuan Chai
Geographically weighted regression (GWR) introduces the distance weighted kernel function to examine the non-stationarity of geographical phenomena and improve the performance of global regression. However, GWR calibration becomes critical when using a s...
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Nelson Ojeda, Ramón Rebolledo, Soraya Calzadilla, Héctor Soto, Luis Morales, Luis Morales
Pág. 379 - 390
Semidalis kolbei occupies a significant area of south central Chile. However, it is necessary to determine and predict the occurrence of the insect at a given site. The aim of this research is to analyze the potential spatial distribution of S. kolbei...
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Jialei Huang and Hong Geng
The anthropogenic disturbance caused by irrational urbanization impacts the ecological security of cities. The study of the relationship between urban spatial form (USF) and urban ecological resilience (UER) can offer guidance for sustainable urban devel...
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Yaqian He, Paul J. Seminara, Xiao Huang, Di Yang, Fang Fang and Chao Song
The COVID-19 pandemic has posed numerous challenges to human society. Previous studies explored multiple factors in virus transmission. Yet, their impacts on COVID-19 are not universal and vary across geographical regions. In this study, we thoroughly qu...
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Zekun Xu, Yu Wang, Guihou Sun, Yuehong Chen, Qiang Ma and Xiaoxiang Zhang
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches fo...
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Rosanna Salvia, Giovanni Quaranta, Kostas Rontos, Pavel Cudlin and Luca Salvati
Assuming a non-neutral impact of space, an explicit assessment of metropolitan hierarchies based on local regression models produces a refined description of population settlement patterns and processes over time. We used Geographically Weighted Regressi...
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Wenxin Wang, Qingyuan Yang, Xia Gan, Xing Zhao, Junfan Zhang and Han Yang
As an emerging business form of tourism development, homestays also play an important role in China?s rural revitalization and tourism transformation and upgrading, and has attracted increasing social attention. At present, Chongqing is the city with the...
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Zimo Wang, Yicheng Wang, Sensen Wu and Zhenhong Du
Confronted with the spatial heterogeneity of the real estate market, some traditional research has utilized geographically weighted regression (GWR) to estimate house prices. However, its predictive power still has some room to improve, and its kernel fu...
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Zilong Qin and Jinxin Wang
As the most basic physical geographic elements, basin terrain and river networks have high spatial complexity and are closely related. However, there is little research on the correlation between terrain and river networks. In this paper, the Yellow Rive...
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Zeng Li, Jingying Fu, Dong Jiang, Gang Lin, Donglin Dong and Xiaoxi Yan
Epidemiological studies conducted around the world have reported that the under-five mortality rate (U5MR) is closely associated with income and educational attainment. However, geographic elements should also remain a major concern in further improving ...
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Yuhang Tang, Chunxia Liu and Yuechen Li
With the continuous implementation of the rural revitalisation strategy, the social and economic landscape of China?s countryside has undergone significant changes and the structure and functions of rural production space have gradually become more compl...
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Mengxiao Liu, Yong Ge, Shan Hu and Haiguang Hao
Recognizing the spatial effects of regional poverty is essential for achieving sustainable poverty alleviation. This study investigates these spatial effects and their determinants across three distinct administrative levels within Hubei Province, China....
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Jianguo Chen, Lin Liu, Huiting Liu, Dongping Long, Chong Xu and Hanlin Zhou
Drug addiction and drug-related crime caused by drug dealing are serious problems for many countries. Such problems have gained urgency in China during recent years. However, there has been no research on the relationship between drug dealing and associa...
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Shaikh Abdullah Al Rifat and Weibo Liu
In recent years, building resilient communities to disasters has become one of the core objectives in the field of disaster management globally. Despite being frequently targeted and severely impacted by disasters, the geographical extent in studying dis...
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Weiwu Wang, Shan Wang, Huan Chen, Lingjun Liu, Tianle Fu and Yuxin Yang
The development of the catering industry in big cities is of great significance for countries to improve the quality of development and improve people?s living standards. In recent years, the urban catering industry has effectively promoted the process o...
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