Usage
This section provides guidance on how to use the main modules of environmentaltools and showcases practical examples through Jupyter notebooks.
Examples
The package includes a collection of Jupyter notebooks demonstrating various capabilities and workflows. These examples are located in the src/environmentaltools/examples directory and cover topics from data download to advanced statistical analysis.
Notebook |
Description |
|---|---|
download - E01 - google-earth-engine |
Download environmental data from Google Earth Engine |
temporal - E01 - marginal-fit |
Fit marginal probability distributions to time series data |
temporal - E02 - marginal-fit-transform |
Apply Box-Cox transformations for improved distribution fitting |
temporal - E03 - multiyear-patterns |
Analyze seasonal and multi-year temporal patterns |
temporal - E04 - multivariate-temporal-dependency |
Model temporal dependencies in multivariate data |
temporal - E05 - multivariate-simulations |
Generate multivariate synthetic time series |
temporal - E06 - multivariate-ensemble-simulation |
Create ensemble simulations for uncertainty quantification |
temporal - E07 - maximum-dissimilitude-analysis |
Perform Maximum Dissimilarity Analysis (MDA) for extreme events |