This is great @ben, thanks for sharing. I think that given the important of highlighting the biomes, we could go away with removing the jurisdictional boundaries and simply have highlights within biome boundaries (for Brazil) and ecoregion boundaries (for Paraguay and Argentina).
A few more suggestions:
- Could you also add the individual countries (at least the largest economies: Germany, UK, France, Italy, Poland, Netherlands, Spain, Belgium)?
-I think we also need the intensity somehow here (similar to YB) to highlight the largest risk per tonne is taking place
Additional note to self: only keep Brazilian biomes, merge Atlantic Forest in Brazil with Paraguay, and combine the Chacos (Paraguay, Argentina, both humedo and seco).
@ben, I have a few additional suggestion to improve this map:
- there needs to be a difference between the low (light grey) and high (dark) colours and the Chaco/Atlantic forest. On volume, it looks like there are conflicting colours between Amazon and Atlantic forest and the amounts exported to the EU. Do you think using dotted or dashed lines around the biomes will help differentiate them from the jurisdictions? I still think the jurisdictions should not have any light colored limits (they look white at the moment).
- Could "Amazônia" be changed to "Amazon"?
Note that the Relative deforestation risk (ha / 1000 tonnes) gives erroneous results for Brazil because of the rollup function which aggregates the values to microregion (and summing an intensity indicator doesn't make sense). The other indicators and countries are okay because we only aggregate to microregions for brazil and the other indicators are absolute values, so can be summed.
@ben, just double checking here the years; can those be changed based on the selection?
soybean -> 2016 for deforestation and GhG emissions; 2018 for volume
beef -> 2017 for deforestation, GhG emissions and Volume (we make a note that there is no deforestation data in the Chaco until 2018).
palm oil -> 2015