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Optimal discretization for geographical detectors-based risk assessment
Cao Feng; Ge Yong; Wang Jin-Feng
2013
Source PublicationGIScience & Remote Sensing
Volume50Issue:1Pages:78-92
AbstractThe geographical detectors model is a new spatial analysis method for the assessment
of health risks. It is adapted to discrete risk factors. Meanwhile, the geographical
detectors model also effectively analyzes the continuous risk factors by discretizing the
continuous data into discrete data. The biggest difficulty is in deciding how to
discretize continuous risk factors using the most appropriate discretization method.
In this paper, we will discuss the selection of an optimal discretization method for
geographical detectors-based risk assessment, and exemplify the process using neural
tube defects (NTD) from the Heshun County, Shanxi Province, China.
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/27894
Collection研究生部
Recommended Citation
GB/T 7714
Cao Feng,Ge Yong,Wang Jin-Feng. Optimal discretization for geographical detectors-based risk assessment[J]. GIScience & Remote Sensing,2013,50(1):78-92.
APA Cao Feng,Ge Yong,&Wang Jin-Feng.(2013).Optimal discretization for geographical detectors-based risk assessment.GIScience & Remote Sensing,50(1),78-92.
MLA Cao Feng,et al."Optimal discretization for geographical detectors-based risk assessment".GIScience & Remote Sensing 50.1(2013):78-92.
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