Results 261 to 270 of about 1,281,895 (298)
Geographical Detector-Based Spatial Modeling of the COVID-19 Mortality Rate in the Continental United States [PDF]
International Journal of Environmental Research and Public Health, 2021 Investigating the spatial distribution patterns of disease and suspected determinants could help one to understand health risks. This study investigated the potential risk factors associated with COVID-19 mortality in the continental United States. We collected death cases of COVID-19 from 3108 counties from 23 January 2020 to 31 May 2020.
Tao Hu, Han Yue, Tao Hu
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Identification of Health Risks of Hand, Foot and Mouth Disease in China Using the Geographical Detector Technique [PDF]
International Journal of Environmental Research and Public Health, 2014 Hand, foot and mouth disease (HFMD) is a common infectious disease, causing thousands of deaths among children in China over the past two decades. Environmental risk factors such as meteorological factors, population factors and economic factors may affect the incidence of HFMD.
Dacang Huang, Yanchen Bo, Jinfeng Wang
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International Journal of Applied Earth Observation and Geoinformation, 2022 Geographical detector (GD) is a method to measure spatial associations using a power of determinant (PD) value that compares the variance of data within spatial zones and in the whole study area. Recent studies have implemented GD in diverse fields, such as environmental and socio-economic issues.
Peng Wu, Yongze Song, Zehua Zhang
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Understanding and extending the geographical detector model under a linear regression framework
International Journal of Geographical Information Science, 2023 Binbin Lu, Xiaoyu Meng, Jinfeng Wang
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Development of a multiscale discretization method for the geographical detector model
International Journal of Geographical Information Science, 2021The geographical detector model (GDM) is based on the spatial variance analysis of geographical strata of variables to assess the association between the independent variables (X) and dependent var...
Xiaoyu Meng +3 more
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SPIE Proceedings, 2015
In order to analyze the effect of physical geographic factors on vegetation change in arid and semi-arid ecosystems, assess the relative role of individual physical geographic factors and the interaction between factors on vegetation changes quantitatively, this study takes the Xinjiang area as an example, uses the GIS spatial analysis technology and ...
Jing Pang, Ziqiang Du, Xiaoyu Zhang
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In order to analyze the effect of physical geographic factors on vegetation change in arid and semi-arid ecosystems, assess the relative role of individual physical geographic factors and the interaction between factors on vegetation changes quantitatively, this study takes the Xinjiang area as an example, uses the GIS spatial analysis technology and ...
Jing Pang, Ziqiang Du, Xiaoyu Zhang
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Analysis of Ecological Factors Affecting Beijing City Based on Geographical Detector
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Remote-sensing-technology can evaluate ecological environment quickly, objectively and quantitatively. This paper used the remote-sensing ecological model to inverse ecological indexes based on satellite images and basic geographic data in Beijing, China.
Xiaoming Deng 0002 +3 more
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A geographical detector study on factors influencing urban park use in Nanjing, China
Urban Forestry and Urban Greening, 2021Abstract Even though urban parks are widely recognized to be of immense benefits for urban residents and environment alike, developing a direct and effective method to estimate urban park use and decipher its influencing mechanisms remain to be challenging.
Zhengxi Fan
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2021 9th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2021
Detailed information regarding the status and dynamics of farmlands is essential to protect food security, particularly for areas with a limited portion of farmlands like Fujian province. Since Fujian has a mountainous terrain and subtropical climate, it is challenging to acquire cloud-free remote sensing images to extract land information from remote ...
Shupei Ding +4 more
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Detailed information regarding the status and dynamics of farmlands is essential to protect food security, particularly for areas with a limited portion of farmlands like Fujian province. Since Fujian has a mountainous terrain and subtropical climate, it is challenging to acquire cloud-free remote sensing images to extract land information from remote ...
Shupei Ding +4 more
openaire +2 more sources