mdietze

EE509

Applied Environmental Statistics course: Boston University, Earth & Environment 509

DietzeLab

Dietze Ecological Forecasting Lab Webpage

FluxCourseForecast

Carbon cycle forecast example for the Flux Course

pecan

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

ctsm

Community Terrestrial Systems Model (includes the Community Land Model of CESM)

DisturbAssim

Code exploring how to apply iterative data assimilation to disturbance and land use change

EE375

EE375 Intro to Environmental Modeling course at Boston University

IterativeSelection

Exploring ideas related to how model selection and hypothesis testing work when iteratively forecasting

PestED

exploratory code to add pest/pathogen scheme to ED-like ecophysiology

4DEnVar_engine

C implementation of 4DEnVar using the GSL

Activity4demo

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

bety

Web-interface to the Biofuel Ecophysiological Traits and Yields Database (the de-facto PEcAn database)

BF768-FIADBProject

cefi_shortcourse_students_2023

Short Course Materials for Forecasting for Decision-Making: An Epidemiological & Ecological Perspective

challenge-ci

EFI RCN NEON forecast challenge CI

ecoforecastCS

EcoForecast: A Serverless Platform for supporting Ecological Research

Fantastic4casters

2021 BU EE585 team project: EFI/NEON terrestrial carbon challenge

forecast-standards

Exploring possible metadata and data formatting standards for comparing Ecological Forecasts

neon4cast-docs

neon4cast-EFActivity04

neon4cast-phenology

Shared code, example workflow, and null models for EFI-RCN NEON phenology forecasting challenge

neon4cast-shiny

neon4cast-terrestrial

NEONSoils

R Code to analyze and process soil respiration fluxes at NEON sites

oshinys

EcoEpi shinyApps

rpecanapi

PEcAn API library to be used in R applications. This will allow you to access the PEcAn REST endpoints and does not require access to the actual machines running PEcAn and their database.

SEM

R package implementation of the Simple Ecosystem Model (SEM) originally documented in Dietze and Matthes 2014

Statistical-Methods-Seminar-Series

Repository for code shared be presenters in the EFI hosted Statistical Methods Seminar Series

weecology-forecasting-course