LandSciTech / ccviR

Implement NatureServe climate change vulnerability index in R
https://landscitech.github.io/ccviR/
Other
2 stars 2 forks source link

Add breaks to exposure map legend and table #93

Closed out2lunch22 closed 1 year ago

out2lunch22 commented 1 year ago

The heat map legend has a scale from 1-6 for each scenario. Are these the 1-6 classes listed under the graph? If so, what unit are they in? I have tried looking for a document to interpret the results to no avail. Thanks.

see24 commented 1 year ago

Yes the 1-6 classes in the map correspond to the classes in the table below. This is described here. The classes do not have units, they are created by classifying the change in the climate variable, in this case mean annual temperature or climate moisture deficit between the historical normal and future climate projections. The classes are determined by the mean and standard deviation of the change in the climate variable such that the first class is unusually small change 3 and 4 are close to average change and 6 is unusually high change. The classes are determined from the lower change scenario, in this case RCP 4.5 and are applied to RCP 8.5 which is why for temperature it is all 6 for the RCP 8.5 scenario. These details of how the exposure data is classified are described in most detail here. However, I agree this is confusing and we should make it more clear both within the app and in the app vignette.

I would also like to store the breaks used to create the classes with the appropriate units in the climate data readme csv that is created when the climate data is processed. Then we could read them from their and use them to label the classes in a more clear way.

Thanks for flagging this, I will add it to the to do list

out2lunch22 commented 1 year ago

Yes, seeing the values for the breaks would be very useful. Right now, it is not clear whether the map is showing an overall drying or wetting trend, an overall cooling or heating trend, nor if it is a muted or extreme change. Thank you for the response.