Name: Joshua Culpepper
Type: User
Company: York University
Bio: Postdoctoral researcher at York University, Toronto, ON, Canada
My research asks questions about the relationships between climate and lake ice.
Location: Toronto, ON, Canada
Blog: https://joshuaculpepper.weebly.com
Joshua Culpepper's Projects
Scripts used in the analysis of Grant etal (2021)
Calculates local grid cell navigability from simulated sea ice thickness (model output). 4 composite "routes" also considered
A LaTeX template for the Boise State University graduate thesis
a California-inspired package of color palettes
Scripts and documentation to accompany the published article: Stahl, A.T., Fremier, A.K., Heinse, L., 2021. Cloud-Based Environmental Monitoring to Streamline Remote Sensing Analysis for Biologists. Bioscience. https://doi.org/10.1093/biosci/biab100
Intro to spatial analysis in R
CEREO / CIRC Workshop Spring 2021
An R package containing wrappers to the Climate Data Operators (CDO) and the NetCDF Operators (NCO)
Making a simple figure for a 2-page, public-facing printout, using cyanoplankton biomass from Lake Superior nearshore.
Code files for the book "Modern Data Visualization in R"
This project focuses on the decay of dissolved oxygen during the winter and summer periods, with year-round, high-frequency observations. This project uses time-series analysis to look at the high-frequency DO and temperature data alongside morphological characteristics as well as productivity and nutrient analyses. The R code focuses on 1) cleaning disaggregated data, 2) aggregating cleaned DO, temperature, oxygen isopote, and water chemistry data, 3) time series analysis on high-frequency DO and temperature data, and 4) statistical analyses of all data
This repository contains three packages that assemble codes and scripts to downscale coarse-resolution reanalysis fields to finer resolutions, accounting for subgrid-scale variability and/or topographic effects.
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.
Workshop materials for the G21.5 workshops.
a web system to allow users to automatically record history and manage complicated scientific workflows in web browsers involving the online spatial data facilities, high-performance computation platforms, and open-source libraries.
A Grammar of Animated Graphics
ggplot-based plots for vegan
This repository contains a simple remote sensing modeling pipeline for predicting simple water quality parameters in lakes.
Data analysis looking at the phenology of lake ice phenology.
This repository contains data and scripts that analyze available lake ice quality data from the literature.
The following repository contains code to analyze the LimnoSat-US data (Topp et al., 2021) in order to determine if lakes that are browning are also warming more rapidly.
lakeCoSTR tool for use in Colab, with user guide
Lake Monitoring Scripts
Calculating lake metabolism using oxygen stable isotopes