Bijan Seyednasrollah
Jennifer J. Swenson
Jean-Christophe Domec
James S. Clark
2018-03-20
<p>Using the Bayesian state-space approach, we developed a continuous development model to quantify dynamic incremental changes in the response variable. While the model was originally developed for daily changes in forest green-up, the model can be used to predict any similar process. The CDM can capture both timing and rate of nonlinear processes. Unlike statics methods, which aggregate variations into a single metric, our dynamic model tracks the changing impacts over time. The CDM accommodates nonlinear responses to variation in predictors, which changes throughout development.</p>
https://doi.org/10.5281/zenodo.1204709
oai:zenodo.org:1204709
Zenodo
https://github.com/bnasr/phenoCDM/tree/v0.1.3
https://doi.org/10.5281/zenodo.1173342
info:eu-repo/semantics/openAccess
MIT License
https://opensource.org/licenses/MIT
phenoCDM: Continuous Development Models for Incremental Time-Series Analysis
info:eu-repo/semantics/other