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6  Agroclimate Rasters

This chapter will show how to

  1. take a raster time series of observed (or modeled) weather data

  1. Convert it to stars (see caladaptr vignette)

  2. Use stars::sapply() to compute agroclimate metrics pixel-by-pixel

    • key thing is to put the computation in a function that takes a timeseries vector and spits out the agroclimate metric

Example: Compute the number of days > 105 degF for one growing season (Apr - Sep) for a small county

  1. Visualize multi-year agroclimate metric rasters with animation, or a slideshow kind of thing