Share.

5 Comments

  1. ramnamsatyahai on

    **Source:** [CHELSA Climate Data](https://chelsa-climate.org/?utm_source=chatgpt.com) (1981–2010).
    **Tools:** R + Rayshader. Code: [GitHub](https://github.com/databandar/asiatempvsprec?utm_source=chatgpt.com).
    Adapted from [u/milosmakesmaps](https://x.com/milosmakesmaps/status/1908898897646268686?utm_source=chatgpt.com), modified for Asia.
    Colors represent **temperature (x-axis)** vs **precipitation (y-axis)** (quantile-based 3×3 bivariate scale). also here is another version of same plot , upvote this if you prefer this version.

    https://preview.redd.it/sq4yd58bprlf1.png?width=1920&format=png&auto=webp&s=193182d79926c883d50f9d467a064adb215479f9

  2. Fornicatinzebra on

    Your scale is unintuitive and should be flipped – more red = hotter (intuitively), you have red for precip. More precip should be more blue, because water is blue.