Playing around with new spatial datasets

Kai Sonder, CGIAR GIS geek extraordinaire, alerts us to the release of a couple of cool new global geospatial datasets, on roads and urban expansion. You need GIS software to get the full benefit of these, but at least for the city one some of the data ((present extent of urban areas, but not the changes in time, as far as I can see.)) are available in KML format. This is what you get when you map in Google Earth Yerevan’s present extent together with the location of wheat germplasm accessions from Genesys.

wheat yerevan

Clearly some of those samples must have been collected a while back, when the city was perhaps smaller. And this is what you get when you map Armenia’s roads, again with wheat, but this time in DIVA-GIS.

armenia wheat roads

A nice enough illustration of a bias towards collecting germplasm near roads that has been looked at in quite a lot of detail in another part of the world. But I just can’t help thinking these resources should be easier to play around with. Especially together.

LATER: Spurred on by Cedric and Jeremy, let me spell it out in more detail. What I would have liked is for both datasets to be available in their entirety in a format allowing easy upload to Google Earth. You will tell me that if you’re really, seriously interested in analyzing these datasets, together with others (like that Armenian wheat stuff from Genesys, say), you can do it by downloading the shapefiles, which is the standard format for such things, and opening them in any decent GIS software. And you’d be right. But isn’t there another kind of user? The one who wants to just, well, play around. Maybe even as a preliminary to more serious analysis, but initially just play around. That user is not well served by these resources. I know because I am that user, and I don’t feel well served.

Brainfood: Grass evolution, Great Lakes fisheries, African cassava, Sustainable UK farms, USA biodiversity loss, PVS, Agriculture to the rescue

Brainfood: Carrot domestication, Nigerian diets, Rotations & ecosystem services, Bangladeshi diets, Maize breeding sites, Olives and climate change, Mixtures and invertebrates, Genebank information systems

US crop wild relatives inventoried

Our friend Colin Khoury and his associates have a paper out in Crop Science on inventorying crop wild relatives in the US. The press release that goes with it is getting picked up. The bottom line is easy to summarize, and Colin does so in the abstract:

We prioritize 821 taxa from 69 genera primarily related to major food crops, particularly the approximately 285 native taxa from 30 genera that are most closely related to such crops. Both the urgent collection for ex situ conservation and the management of such taxa in protected areas are warranted, necessitating partnerships between concerned organizations, aligned with regional and global initiatives to conserve and provide access to CWR diversity.

But where to start with all that collecting and in situ work? Well, here’s a little peek at the next phase of Colin’s work, which will answer that question. He’ll be modelling the distribution of the priority species using the GIS resources at CIAT, and mapping areas of high species diversity, and also areas which are under-represented in conservation efforts (gaps). Using just a portion of the data, and therefore yielding only very preliminary results, this is the sort of thing that comes out:

USA_GAP26042013

We look forward to the final results in due course. Good luck, Colin, and thanks for the sneak preview.