Projects in Awesome Lists by jds485
A curated list of projects in awesome lists by jds485 .
https://github.com/jds485/engauge
Repository for gathering Environmental Gauge data, processing that data, and doing basic exploratory (spatial) data analysis.
exploratory-data-analysis gauge hydrology hydrology-statistical
Last synced: 16 May 2025
https://github.com/jds485/rhessys_paramsa-cal-giopt
Morris global sensitivity analysis, Bayesian DREAMzs calibration, and multi-objective optimization of green infrastructure using the RHESSys ecohydrological model.
bayesian-calibration optimization rhessys sensitivity-analysis
Last synced: 16 May 2025
https://github.com/jds485/pad_icejamfloods
Frequency analysis for ice jam floods applied in the Peace-Athabasca Delta, Canada. Serves as the paper code repository for Timoney et al. (2018) and Lamontagne et al. (in prep).
bootstrap flood-frequency-analysis hydrology-statistical ice-jam-flooding logistic-regression peace-athabasca-delta regression
Last synced: 16 May 2025
https://github.com/jds485/geothermal_esda
This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.
bht exploratory-data-analysis exploratory-data-visualizations geothermal heat-flux nonparametric-statistics outlier-detection sensitivity-analysis spatial-analysis spatial-data-analysis spatial-data-science
Last synced: 16 May 2025
https://github.com/jds485/geothermal_dataanalysis_crosssections
This repository contains code that may be useful for processing geothermal bottomhole temperature (BHT) data into a useful format for spatial outlier analyses and spatial regressions. Plot templates for geotherms and cross sections are also available.
cross-sections spatial-data-analysis
Last synced: 16 May 2025
https://github.com/jds485/r-bayesiantoolsexample
This repository contains simple examples that illustrate how to use the BayesianTools R package to do Bayesian inference.
Last synced: 16 May 2025