This repository contains supplementary code for Challenges 3 and 4 of team Uniofbathtopia's entry [1] for the EVA 2023 Data Challenge [2].
Open the project eva-2023-data-challenge.Rproj
in R.
To run our code for Challenge 3, run the script R/c3.R
.
To run our code for Challenge 4, run the script R/c4.R
.
The data provided for the challenges are contained in the folder data
.
Functions used within the scripts are contained in the folder R
.
The figures generated from the code are contained in the folder figs
.
Matthew Pawley
Department of Mathematical Sciences, University of Bath
Email: mtp34@bath.ac.uk
[1] Elsom, H., Pawley, M.: Extreme Value Statistics for Analysing Simulated Environmental Extremes (2023+). Preprint at https://arxiv.org/abs/2312.13725.
[2] Rohrbeck, C., Simpson, E.S., Tawn, J.A.: Editorial: EVA 2023 data challenge (2023)