Optimal discretization for geographical detectors-based risk assessment
文献类型：SCI/SSCI论文
| 作者 | Ge Y. |
| 发表日期 | 2013 |
| 关键词 | geographical detectors discretization risk assessment NTD neural-tube defects spatial association poisson regression heshun region birth-defects health china classification algorithm support |
| 英文摘要 | The 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. |
| 出处 | Giscience & Remote Sensing |
| 卷 | 50 |
| 期 | 1 |
| 页 | 78-92 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1548-1603 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30647]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Ge Y.. Optimal discretization for geographical detectors-based risk assessment. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
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