Collection of tools to perform object-based analysis with special emphasis on metric of convection organization.
The typical workflow involves
- time stacking: slot files are packed into daily data stacks (also variable transformations and secondary variable calculations are included, here)
- segmentation: each daily data stack is segmented into categorized fields (involves to define a threshold) and also daily cluster files are saved
- e.g. script
save_cluster_properties.py - analysis stack: at the next step, a analysis period (e.g. a month) is defined and selected properties from the cluster files are stacked into a larger cluster properties file
- e.g. script
save_interesting_cluster_props.py - average_statistics: average statistics like number densities are calculated
- e.g. notebook
18-Average_NARVAL-SMF_NumberDensites.ipynb - addition of fields: at this point, several fields are added to the daily cluster files
- pair-correlation function: e.g. script
sort_pcf2cluster.py - environmental variables