AJ Brown's Projects
Source for the Particle Air Quality Monitoring Kit
R code to take ALS excel water quality data and interpret it via some preliminary graphics
Config files for my GitHub profile.
A website to host AJ's most notable data tools.
Python tool to generate standard water quality reports with preliminary analytics and tools
A comparison investigation of water sampling methods using Bayesian inference modeling as part of a 2023 study by the CSU Agricultural Water Quality Program
This project aims to apply Bayesian Inference and Markov Chain Monte Carlo (MCMC) methods to quantify uncertainty in Total Suspended Solids (TSS) measurements.
Tool used to calibrate and compare salinity tolerance index functions, using a real corn dataset as an example.
Colorado State University LaTeX Thesis/Dissertation Template
A collection of material for performing electromagnetic induction (EMI) surveys using an Geonics, Ltd. EM38 device, plus theory. Additionally, it contains the necessary software and training for running ESAP.
Python script for monte carlo analysis using the ExtractChem geochemical model.
This repository is dedicated to the ongoing project of using python to run Monte Carlo analysis on the soil physical and chemical model, Hydrus 1D
Interpretable ML package š for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Short crashcourse to get started with coding in R using R studio as an IDE and sample water quality data.
R script designed to take bucket fill time readings and flume measurements in surface irrigation systemsto calculate water inflow/outflow quantities in volume and depth
Letterboxd stats for logged moview
Materials for the NIMBLE short course at the enviBayes workshop at Colorado State University, September 18, 2023
This python project is the result of a class assignment for Colorado State University course WR 514: GIS and Data Analysis in Water Resources. Below is the example problem:
Using modbus protocol on particle electron to make CR300 IoT capable for low-cost.
Script that compares CSU-developed, low-cost IoT temperature sensors used in sugarbeet piles for monitoring succestibility to sugar loss. Compares sensor data to thermometers and commercial sensors owned by Western Sugar.
My first attempt at creating custom QR codes using qrcode in python.
My first use of Markov chain Monte Carlo techniques in an attempt to model runoff water quality.
R script that takes spectral data coupled with ground truth salinity data (ECe), to create a glm model via the glmulti package that will optimize predictor selection.
Library for uploading Particle devices to Ubidots
First take at using python to access Ubidot data. The fiirst method utilizes the Ubidots python module. The second uses HTTP protocols.
Tool created to convert old and new water quality data formats back and forth both using R coding language and Python for educational purposes
Using GeoPandas to aggregate population data
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent