Data-driven model script for flood severity modeling in Norfolk, VA
收藏DataCite Commons2025-12-12 更新2026-04-25 收录
下载链接：
http://www.hydroshare.org/resource/712cd2ce8f604c8f824d6836ee3fcb53
下载链接
链接失效反馈官方服务：
资源简介：
This is a script written in the R programming language. The script is used to train and apply two data-driven models, Random Forest and Poisson regression. The target variable is the number of flood reports per storm event in Norfolk, VA USA. The input variables for the models are environmental conditions on an event time scale (or daily if no flood reports were made for an event). This script was used to produce results published in a paper in the Journal of Hydrology: https://doi.org/10.1016/j.jhydrol.2018.01.044.
---
Original run configurations:
R version = 3.3.3
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
Packages used:
'randomForest' (version 4.6-12)
'caret' (version 6.0-73)
提供机构：
Consortium of Universities for the Advancement of Hydrologic Science, Inc
创建时间：
2025-12-12
