Optimal discretization for geographical detectors-based risk assessment-Reference-Cited by-同舟云学术

Optimal discretization for geographical detectors-based risk assessment

Published:2013-02 Issue:1 Volume:50 Page:78-92
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Cao Feng¹,Ge Yong¹,Wang Jin-Feng¹

Affiliation:

1. a State Key Laboratory of Resources and Environmental Information System , Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences , A11Datun Road, Beijing , 100101 , China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2013.778562

Reference26 articles.

1. Local Indicators of Spatial Association-LISA

2. Using rough set theory to identify villages affected by birth defects: the example of Heshun, Shanxi, China

3. Spatial Poisson Regression for Health and Exposure Data Measured at Disparate Resolutions

4. Dougherty, J., R. Kohavi, and M. Sahami. 1995. “Supervised and Unsupervised Discretization of Continuous Features,” InProceedings of the Twelfth International Conference on Machine Learning, Tahoe City, CA, July 9–12, 194–202. San Francisco, CA: Morgan Kaufmann Publisher.

5. Fischer, M. M. and Wang, J. F. 2011.Spatial Data Analysis: Models, Methods and Techniques, 82Berlin: Springer.

Cited by 191 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying driving factors and their interacting effects on accumulation of heavy metals in cultivated soils based on optimal parameter geographic detector model;Journal of Geochemical Exploration;2024-11

2. Considering multi-scale built environment in modeling severity of traffic violations by elderly drivers: An interpretable machine learning framework;Accident Analysis & Prevention;2024-11

3. Impact Factors of Spatial Distribution and the Ecological Environment Suitability of Tujia Traditional Settlements in China under the background of Sustainable Development Goals;Tehnicki vjesnik - Technical Gazette;2024-10-15

4. Spatiotemporal Changes and Driving Mechanisms of Cropland Reclamation and Abandonment in Xinjiang;Land;2024-09-12

5. Spatial–Temporal Variations and Driving Factors of the Albedo of the Qilian Mountains from 2001 to 2022;Atmosphere;2024-09-06