Data

load_dataset()

Load example (Phenology, NDVI, and Weather) datasets from International Wheat Improvement Network (IWIN) sites and the other locations across the globe to estimate yield under non-stressed and Vapor pressure Deficit (VPD) stressed conditions as a function of temperature.

Return

A data dictionary with all raw data and information needed to carry out the demo.

Examples:

    >>> from tfunct.data import load_dataset
    >>> # Load example dataset (Phenology, NDVI and Weather data for each site)
    >>> data = load_dataset()
    >>> print(data.keys()) # dict_keys(['Pheno', 'NDVI', 'Weather'])
    >>> # Display Pheno data
    >>> data['Pheno']
    >>> # Display NDVI data
    >>> data['NDVI']
    >>> # Display Weather data
    >>> data['Weather']