6  Agroclimate Rasters

This chapter will show how to

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

• Spatial CIMIS
• gridMet
• PRISM

2. Convert it to stars (see caladaptr vignette)

3. 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

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