Questioning maps

As regular readers know all too well, I can’t resist a map mashup. So when I saw the latest data on deforestation in the Amazon, I fired up MapWarper and GoogleEarth and got to work.

And here’s a look at how recent deforestation in Brazil relates to the localities of past cassava collecting, at least as far as Genesys knows about it.

Now, I don’t know in what way deforestation (and associated disruptions) relates to loss of cassava diversity, but there’s a chance that it might. Could make an interesting PhD project for someone.

Anyway, encouraged by my pretty result, and remembering that I wanted to do something with some shiny new maps I had heard about, I next mashed up sorghum accessions and poverty in Burkina Faso. Here’s what I got.

What’s going on? Why are there relatively fewer sorghum accessions where poverty is higher (more red)? Are those places just harder to reach? Or do people there really grow less sorghum.

Again, I don’t know. But I think it would be interesting to find out.

All speculation welcome in the comments.

Brainfood: RICA, AEGIS, CWR, Agrosavia, DSI, CRISPR, Tradition, SNS, Stability, Birds, Sparing, Genetic erosion

Brainfood: Cola trade, Amalfi terraces, Satoyama value, Burkinabe cattle, Tree planting, Chickpea adoption, Varietal diversification, Wheat diversity, Maize adaptation, Stress breeding, Root & tubers, Cropping data

A very hot spot for agrobiodiversity

You probably heard about the eruption and lava flow on La Palma in the Canary Islands. What you may not know is that there’s an interactive map of it online. And what came as a further, very welcome, surprise to me is that it allows you to import your own data. That’s quite unusual. Genesys shows 442 georeferenced accessions from the island, and importing their locations suggests that two of them (a pepper and a watermelon) were originally collected from farms that are now in the vicinity of the lava flow.

Does that matter? Probably not, but it was nice to be able to do this sort of mashup quite easily for once. All too often combining spatial data is an almighty chore if you’re not a GIS specialist.

https://twitter.com/i_ameztoy/status/1446171506028032001

Brainfood: Mapping double, Niche modelling, CGIAR impacts, Pathogen genebank, Data stewardship, Breeding tradeoffs, Organic vs conventional, Agronomic trials, Teff evaluation, Eggplant genetic resources, Quinoa phenotyping