Software Open Access
phenoCDM: Continuous Development Models for Incremental Time-Series Analysis
Bijan Seyednasrollah;
Jennifer J. Swenson;
Jean-Christophe Domec;
James S. Clark
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.
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bnasr/phenoCDM-v0.1.3.zip
md5:e08b0b08eb619a0c23104c35e34c37c0 |
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| Unique downloads | 2 | 2 |
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- Publication date:
- March 20, 2018
- DOI:
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- Related identifiers:
- Supplement to
- License (for files):
- MIT License