- Authors: Tim Fraser, Yan Guo, and Oliver Gao
- Description: repository for
movesliteR package and validation analyses.
moveslite is an R package for fast emissions estimation based on Cornell's server of previous MOVES analyses.
The goal of moveslite is to provide fast, highly accurate predictions of emissions tailored to a user's county. moveslite achieves this goal by generating predictions from statistical models built off of a vast supply of default emissions estimates for every county in the US generated by the EPA's MOVES software, compiled by the Cornell Climate Action in Transportation Team. While MOVES data is extremely time consuming to generate, moveslite builds models that approximate that data to allow for fast comparison of multiple scenarios within seconds. The goal is to enable fast, data-driven decision making using computational methods, built atop the EPA's MOVES model, the gold standard in the US for emissions modeling and regulatory compliance.
Our team at Gao Labs is currently developing a front-end user interface that anyone can use to make queries to the Cornell CATSERVER via moveslite. We expect this online interface to be available by the end of 2024.
To use MOVESLite as an external user, you can use the CAT Public API, which is queried in our query() function.
Further, if you would like to be one of our user testing partners for moveslite, reach out to Dr. Tim Fraser at Gao Labs @ Cornell at tmf77@cornell.edu.
To use moveslite, you will need an active RStudio coding environment. You can build the package from source using our dev.R script in this repository, or you can install the most recent version of the package from github using our workflow.R script, which contains helpful examples of how to use it.
- For more tools by Gao Labs @ Cornell, see our Github Organization Page here at https://github.com/Gao-Labs
- For more information about Gao Labs, see our website at https://gao.cee.cornell.edu/