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| Owners: |  | This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. | 
| Type: | Resource | |
| Storage: | The size of this resource is 3.6 KB | |
| Created: | Jul 13, 2018 at 6:53 p.m. (UTC) | |
| Last updated: | Jul 13, 2018 at 7:25 p.m. (UTC) | |
| Citation: | See how to cite this resource | 
| Sharing Status: | Public | 
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| Views: | 3439 | 
| Downloads: | 68 | 
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Abstract
This is a Python script used to plot results from a street flood severity model. The script plots predicted flood reports against true flood reports and was originally used for making a plot for a  Journal of Hydrology paper: https://doi.org/10.1016/j.jhydrol.2018.01.044. The data files used to produce the plot for the paper are found in another HydroShare resource: https://www.hydroshare.org/resource/54df00b15c02458685fa3b622f2ecc7b/. For the script to work as is, the script has to be in the same directory as the data files and the files have to be named as follows: "poisson_[suffix]_train", "poisson_[suffix]_test", "rf_[suffix]_train", "rf_[suffix]_test". The "suffix" value should be the same as the suffix specified when using the R code that produces the data files. This code is also part of a HydroShare resource: https://www.hydroshare.org/resource/712cd2ce8f604c8f824d6836ee3fcb53/. The script is  used as follows "python plot_count_model_results.py [suffix]".  
   
  Python version 2.7
  Required matplotlib, pandas, and numpy 
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Related Resources
| Title | Owners | Sharing Status | My Permission | 
|---|---|---|---|
| Data-driven street flood severity modeling in Norfolk, Virginia USA 2010-2016 | Jeff Sadler · Jonathan Goodall | Public & Shareable | Open Access | 
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/ 
                        
                
            
         
            
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