Predictive_model_Assam
收藏DataCite Commons2025-12-12 更新2026-04-25 收录
下载链接：
http://www.hydroshare.org/resource/d4f4b7601c694667bdf62a7826cad1a6
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资源简介：
The resources contain grid averaged arsenic concentration (mean concentrations) and predictor variables in Jorhat and Golaghat districts of Assam. GPS location has included error terms for privacy. Basic workflow random forest model in python environment is also provided. Final model was determined through random 10-fold cross-validation. Final model was used in the prediction of arsenic probability in unknown locations. We have also checked spatial cross-validation. The results were found to be consistent and confirmed the overall distribution of high/moderate/low-risk zones for arsenic in groundwater.
Some of the original point data can be downloaded from: https://www.hydroshare.org/resource/bbe23dfacab647568a18dc338114d6d7/
reference: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2017WR022485
提供机构：
Consortium of Universities for the Advancement of Hydrologic Science, Inc
创建时间：
2025-12-12
