SpatialModelsZAMG: Package 'SpatialModelsZAMG'

In SpatialModelsZAMG: Spatial Modeling of Extreme Events

Description

The package SpatialModelsZAMG was developed for spatial modeling of extreme snow depth (sd) and snow water equivalent (swe) in Austria, but can in principle be used for any kind of extreme events.

There is a function for model selection, and several functions for optimization of the model coefficients, like via smooth modeling, bivariate Huesler-Reiss, bivariate Extremal-Gaussian or bivariate Extremal-t model.

Furthermore, return levels can be calculated and maps can be plotted.

For the bivariate models, there is also the possibility to calculate and plot conditional return levels.

Details

The package provides the following functions:

1. get_data_from_Robj: extract the snow data from a saved robj file

2. model_selection: find best linear models according to AIC

3. optimizer_smooth_model: optimize the coefficients of the best fitted linear models via smooth modeling

4. optimizer_biv_hr_model: optimize the coefficients of the best fitted linear models via bivariate Huesler-Reiss model

5. optimizer_biv_ext_gauss_model: optimize the coefficients of the best fitted linear models via bivariate Extremal-Gaussian model

6. optimizer_biv_ext_t_model: optimize the coefficients of the best fitted linear models via bivariate Extremal-t model

7. GEVparameters_from_models: calculate GEV parameters according to given linear models

8. GEVparameters_map: create GEV parameter maps for Austria

9. returnlevels: calculate return levels

10. returnlevel_plot: create return level plots

11. returnlevel_map: create return level maps for Austria

12. cond_returnlevels: calculate conditional return levels

13. cond_returnlevel_plot: create conditional return level plots

14. cond_returnlevel_map: create conditional return level maps for Austria

15. model_difference_map: create model difference maps for Austria
    
    

The package also includes some data files, which are used in the example codes:

1. ‘lon.at’: longitude data from Austria

2. ‘lat.at’: latitude data from Austria

3. ‘alt.at’: altitude data from Austria

4. ‘border.at’: border data from Austria

5. ‘sample_grid_data’: sample grid data for sd and swe

6. ‘sample_snow_data’: sample snow data from 36 examplary stations distributed over Austria

7. ‘get_data’: exemplary function output from get_data_from_Robj

8. ‘sd_m_select’: exemplary function output from model_selection for sd

9. ‘swe_m_select’: exemplary function output from model_selection for swe

10. ‘optim_hr’: exemplary function output from optimizer_biv_hr_model

11. ‘sd_GEVparam’: exemplary function output from GEVparameters_from_models for sd

12. ‘swe_GEVparam’: exemplary function output from GEVparameters_from_models for swe
    
    

Author(s)

Simon Gstoehl, [e-mail]

Contact:

University of Innsbruck: Tobias Hell, [e-mail]

ZAMG Innsbruck: Harald Schellander, [e-mail]

SpatialModelsZAMG documentation built on Nov. 11, 2019, 3 p.m.