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| Type: | Resource | |
| Storage: | The size of this resource is 3.6 KB | |
| Created: | Jul 13, 2018 at 6:53 p.m. | |
| Last updated: | Jul 13, 2018 at 7:25 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 2143 |
| Downloads: | 60 |
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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
Subject Keywords
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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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