Processing data from micrometeorological Eddy-Covariance systems

Download data from the Oregon PRISM climate data project http://www.prism.oregonstate.edu/

EddyPro Engine

Footprint estimation and analysis for eddy covariance flux tower data

An R package for processing and cleaning eddy covariance flux measurements

simple and scalable statistical modelling in R

Technical documentation of PIHM and PIHMgisR

PIHM analysis package in Matlab.

PIHM analysis R packages.

Tools for assessing accuracy and estimating area for various sampling designs

STAC Machine Learning Model (MLM) Extension to describe ML models, their training details, and inference runtime requirements.

Repository for Princeton Open Hackathon 2024 Seagrass ML team.

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html

High-level geospatial data visualization library for Python.

Spatiotemporal Arrays, Raster and Vector Data Cubes

Statistical Rethinking course and book package

Code for Retrieving STAC Information, addressing Repeated Spatial Infelicities and interfacing with Rsome Spectral Indices

Repository for scripts necessary to process, run, and analyze machine learning model used to predict zoning at scale.

WhiteboxTools R Frontend

Code for building raster files of elevation derivatives, python and R scripts for using these rasters for building and applying random forest models of wetland presence/absence in ArcGIS Pro

Read and write rasters in parallel using Rasterio and Dask

Python library for Global Hydrology Analysis. Used to calculate upstream contributing area, aspect, slope, and topographic wetness index.

High-performance Terrain and Hydrology Analysis

PyMC educational resources

Example models for Stan