A roadmap to better mapping

Geographers and cartographers often use 2-3 three different software packages for data analysis: they will probably never settle around one tool, online at that, and create a ‘community’ of users there. Instead, the NGOs interested in such a tool should rather offer geo-info advice and look at light open-source GIS software to distribute: how many development workers in the field have had difficulties with the (basic) tabular conversions associated with GPS data? Many many me thinks.

That’s Cédric Jeanneret-Grosjean on online mapping resources. What he’s saying is that they, er, should not be online. Bold. Very bold. But a model that has in fact been followed, at least for the spatial analysis of biodiversity, agricultural and otherwise. And with some success. Maybe time for the crop distribution modellers to try it?

Let’s remember this is important. We’re not just arguing about how to make prettier maps. Identifying what constraints are going to be most significant, when, where in the world, for each crop, is going to be crucial in setting breeding agendas for the next 20 years and more. Breeders need to be able to explore and interrogate these future suitability maps, and explain what they get out of them to their bosses and the policy-makers above them. It’s important to make them as accessible and easy to use as possible. What we have at the moment is not fit for purpose.

Nibbles: CGIAR, Breeding, Shamba Shape-up, Beach, Plant Cuttings, Cabbage pic, Leaf monitor, European AnGR and PGR, Dutch CWR post-doc, Allium on the Highline, Brazil forest code, Japanese rice in Oz, Indian genebank sell-off, Jersey apple genebank, Hazelnut milk subsitute, SPGRC, Urban veggies roundup, Spicy tales, Agroecological zonation

Nibbles: Rio, Livestock & crops, Rice restored, Asparagus trials, Pigeonpea DNA, Tomato taste, Liquorice, Palm pest

Brainfood: Spanish emmer, Lathyrus breeding, Vitis in N Africa, European tree niche models over time

Nibbles: Quinoa, Chilean landraces, Planetary sculptors, Offal, Eels, Grand Challenges in Global Health, ILRI strategy, Artemisia, Monticello, Greek food, Barley, Rain

  • The commodisation of quinoa: the good and the bad. Ah, that pesky Law of Unintended Consequences, why can we not just repeal it?
  • No doubt there are some varieties of quinoa in Chile’s new catalog of traditional seeds. Yep, there are!
  • Well, such a catalog is all well and good, but “[o]ne of the greatest databases ever created is the collection of massively diverse food genomes that have domesticated us around the world. This collection represents generation after generation of open source biohacking by hobbyists, farmers and more recently proprietary biohacking by agronomists and biologists.”
  • What’s the genome of a spleen sandwich, I wonder?
  • And this “marine snow” food for eels sounds like biohacking to me, in spades.
  • But I think this is more what they had in mind. Grand Challenges in Global Health has awarded Explorations Grants, and some of them are in agriculture.
  • Wanna help ILRI with its biohacking? Well go on then.
  • Digging up ancient Chinese malarial biohacking.
  • Digging up Thomas Jefferson’s garden. Remember Pawnee corn? I suppose it’s all organic?
  • The Mediterranean diet used to be based on the acorn. Well I’m glad we biohacked away from that.
  • How barley copes with extreme day length at high latitudes. Here comes the freaky biohacking science.
  • Why working out what is the world’s rainiest place is not as easy as it sounds. But now that we know, surely there’s some biohacking to be done with the crops there?