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inbo / riparias-prep

Preparatory scripts and data management for the RIPARIAS workflow
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Use higher ress tiffs to do climate matching #1

Closed SanderDevisscher closed 3 years ago

SanderDevisscher commented 3 years ago

https://ndownloader.figshare.com/files/12407516 => download 1x1km tiffs 0p0083 (niet conf) https://www.rdocumentation.org/packages/tiff/versions/0.1-6/topics/readTIFF => to read tiffs The maps are stored in GeoTIFF format as unsigned 8-bit integers. The maps are referenced to the World Geodetic Reference System 1984 (WGS 84).

Originally posted by @SanderDevisscher in https://github.com/inbo/easin/issues/39#issuecomment-809377485

SanderDevisscher commented 3 years ago

@adrienlatli @timadriaens I'll continue improving the koppen geiger climate matching in this public repo

timadriaens commented 3 years ago

Am posting the last comment from Adrien here:

Hi all,

We discuss with Romain of the climate matching results.

According to the (pre) list of the 32 crayfish available in e-shops, 4 species are included in the climate matching list (actual climate) and 13 species are included in the climate matching (futur).

3 species available in e-shop have not been analysed with climate matching approach (species not included in my initial list : Cherax communis, Cherax snowden et Procambarus ouachitae).

Students will begin soon the shop inventory to get the most complete crayfish list available in market.

Pending the complete taxonomic list, would it be useful to carry out the climate matching analysis on all the crayfish species available in the GBIF database ?

Best Adrien

SanderDevisscher commented 3 years ago

3 species available in e-shop have not been analysed with climate matching approach (species not included in my initial list : Cherax communis, Cherax snowden et Procambarus ouachitae).

These can be added to White list proposal for aquarium crayfish GBIF 22092020.xlsx in ~the 1_climate_matching_rework~ a new - branch

Pending the complete taxonomic list, would it be useful to carry out the climate matching analysis on all the crayfish species available in the GBIF database ?

If you would provide me with a list of crayfish families (example https://www.gbif.org/species/8670) to consider with the corresponding taxonkeys I can do a gbif download based on this.

=> firstly however I would like to focus on the rework for the higher resolution raster files. I'll open a new issue for this analysis.

timadriaens commented 3 years ago

Indeed, best to focus on the workflow first so it can include the updated KG climate maps from the Beck et al. paper) as wel will also use this for the aquatic plants later.

SanderDevisscher commented 3 years ago

@timadriaens in hindsight a 1x1km worldwide grid seems a bit overkill. I suggest we switch to 10x10km instead ?

timadriaens commented 3 years ago

the belgian risk map workflow also uses 1km. The point is of course also that a greater resolution increases the error rate when assigning a record to a grid cell (with this crude climate matching, we don't even take into account uncertainty on the coordinates). So I am ok with 10km (but I wonder about the previous map because it didn't have the right climatic zones for Belgium). Perhaps @adrienlatli has an opinion on the matter?

adrienlatli commented 3 years ago

If the belgian risk map workflow uses 1km accuracy it 's maybe better to keep the same scale for potential future publications.

But if the climate matching workflow 1x1km is too time expensive, let's go to the 10x10km, I'm pretty sure it's good enough.

timadriaens commented 3 years ago

OK! I agree with that. The climate matching is only meant to selection potential species for in depth RA so certainly a good approach.