Plot results from data-driven street flood severity models
|Resource type:||Composite Resource|
|Storage:||The size of this resource is 3.6 KB|
|Created:||Jul 13, 2018 at 6:53 p.m.|
|Last updated:||Feb 22, 2019 at 3:37 p.m. by Jeff Sadler|
|Citation:||See how to cite this resource|
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
|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|
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