Gaussian Process Model and Sensor Placement for Detroit Green Infrastructure: Datasets and Code

code.zip: Zip folder containing a folder titled "code" which holds: csv file titled "MonitoredRainGardens.csv" containing the 14 monitored green infrastructure (GI) sites with their design and physiographic features; csv file titled "storm_constants.csv" which contain the computed decay constants for every storm in every GI during the measurement period; csv file titled "newGIsites_AllData.csv" which contain the other 130 GI sites in Detroit and their design and physiographic features; csv file titled "Detroit_Data_MeanDesignFeatures.csv" which contain the design and physiographic features for all of Detroit; Jupyter notebook titled "GI_GP_SensorPlacement.ipynb" which provides the code for training the GP models and displaying the sensor placement results; a folder titled "MATLAB" which contains the following: folder titled "SFO" which contains the SFO toolbox for the sensor placement work file titled "sensor_placement.mlx" that contains the code for the sensor placement work several .mat files created in Python for importing into Matlab for the sensor placement work: "constants_sigma.mat", "constants_coords.mat", "GInew_sigma.mat", "GInew_coords.mat", and "R1_sensor.mat" through "R6_sensor.mat" several .mat files created in Matalb for importing into Python for visualizing the results: "MI_DETselectedGI.mat" and "DETselectedGI.mat"This project is a continuation of the project described here: https://zenodo.org/record/7636149#.Y_ZvES-B1hF