CompoundEvents-package: Statistical Modeling of Compound Events
In CompoundEvents: Statistical Modeling of Compound Events
CompoundEvents-package R Documentation
Statistical Modeling of Compound Events
Description
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences,
and quantifying impacts of compound events in hydrology and climatology.
Details
Examples of compound events in hydroclimatology include, but not limited to, compound dry-hot events and compound precipitation and surge (or sea level) events. Take the compound dry and hot event as an example. The function GetDH is used for extracting occurrences based on thresholds of dry and hot indicators. The function DriverLGR is used for assessing potential driving factors of compound events based on logistic regression model. The function PredLGR is used for predicting occurrences of compound events. The function ImpactMG is used for quantifying impacts of compound dry and hot events based on meta-Gaussian model.
Author(s)
Zengchao Hao
References
Hao, Z., et al.( 2013). Changes in concurrent monthly precipitation and temperature extremes. Environ. Res. Lett. 8: 034014.
Hao, Z. et al. (2019). A monitoring and prediction system for compound dry and hot events. Environ. Res. Lett., 14:114034.
Hao, Z. et al. (2019). Statistical prediction of the severity of compound dry-hot events based on ENSO . J. Hydrol., 572: 243-250.
Feng, S. et al. (2019). Probabilistic evaluation of the impact of compound dry-hot events on global maize yields. Sci. Total. Environ., 689: 1228-1234.
CompoundEvents documentation built on Nov. 10, 2022, 5:45 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| CompoundEvents-package | R Documentation |
Statistical Modeling of Compound Events
Description
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and quantifying impacts of compound events in hydrology and climatology.
Details
Examples of compound events in hydroclimatology include, but not limited to, compound dry-hot events and compound precipitation and surge (or sea level) events. Take the compound dry and hot event as an example. The function GetDH is used for extracting occurrences based on thresholds of dry and hot indicators. The function DriverLGR is used for assessing potential driving factors of compound events based on logistic regression model. The function PredLGR is used for predicting occurrences of compound events. The function ImpactMG is used for quantifying impacts of compound dry and hot events based on meta-Gaussian model.
Author(s)
Zengchao Hao
References
Hao, Z., et al.( 2013). Changes in concurrent monthly precipitation and temperature extremes. Environ. Res. Lett. 8: 034014.
Hao, Z. et al. (2019). A monitoring and prediction system for compound dry and hot events. Environ. Res. Lett., 14:114034.
Hao, Z. et al. (2019). Statistical prediction of the severity of compound dry-hot events based on ENSO . J. Hydrol., 572: 243-250.
Feng, S. et al. (2019). Probabilistic evaluation of the impact of compound dry-hot events on global maize yields. Sci. Total. Environ., 689: 1228-1234.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.