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+20, Food security, Old seedsmen, New products, Camels, Informatics, Malthus lecture

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