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.

Files (364.1 kB)
Name Size
bnasr/phenoCDM-v0.1.3.zip
md5:e08b0b08eb619a0c23104c35e34c37c0
364.1 kB Download
160
21
views
downloads
All versions This version
Views 16051
Downloads 218
Data volume 7.4 MB2.9 MB
Unique views 12145
Unique downloads 128

Share

Cite as