mvgam
Dynamic generalised additive models for forecasting discrete ecological time series.
bayesian-statistics dynamic-factor-models ecological-modelling forecasting gaussian-process generalised-additive-models generalized-additive-models joint-species-distribution-modelling multilevel-models multivariate-timeseries rstats stan time-series-analysis timeseries vector-autoregression vectorautoregression
Biosphere - Ecological and Environmental Modeling - Last synced: 05 Aug 2026 - Ranking: 14.5
wqtrends
R package to assess water quality trends with generalized additive models.
package reporting san-francisco-bay time-series-analysis water-quality
Natural Resources - Water Supply and Quality - Last synced: 05 Aug 2026 - Ranking: 8.0
LT-GEE
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm.
change-detection google-earth-engine landsat landscape-dynamics landtrendr mapping time-series-analysis
Natural Resources - Soil and Land - Last synced: 05 Aug 2026 - Ranking: 6.6
Ecological forecasting with R
In this course you will learn how to wrangle, visualize and explore ecological time series.
brms ecological-modelling forecasting generalised-additive-models generalised-linear-models generalized-additive-models mgcv multilevel-models mvgam stan time-series-analysis vector-autoregression
Sustainable Development - Education - Last synced: 05 Aug 2026 - Ranking: 3.8