Data source of the week
There is a wealth of information on e.g., land use, climate and species available online. But you need to know where to look. My plan is to highlight one example every week (let’s see if I can keep up with that). You’ll find more examples on data.ecodiv.org.
Atlas of African Agriculture Research & Development
Description: The e-atlas is a repository of data useful for agriculture research and development in Africa. It provides online, open-access to spatial data and tools that is generated and maintained by a community of research scientists, development analysts, and practitioners working in and for Africa. The e-Atlas highlights the ubiquitous nature of smallholder agriculture in Africa and provides data needed to describe the many factors shaping the location, nature, and performance of agricultural enterprises and the strong interdependencies among farming, natural resource stocks and flows, rural infrastructure, and the well-being of the poor. Continue reading
An announcement on the QGIS mailing list about NIWA Quantum map made me curious. How is this going to differ from QGIS? As it turns out, NIWA Quantum map is basically QGIS with a simplified interface, i.e., it has some GIS functionality hidden or removed to be less confusing for users not familiar with GIS. They used the customization options to disable the editing functions, so users can enable that if required. I wonder though why they did not do the same with the analytical functions, rather then removing it all together.
It furthermore has a custom plugin added to provide easy access to a number of data layers for New Zealand. As these are WMS or WFS data sources, you can of course open them in QGIS too, or any WMS or WFS compatible software for that matter.
Check out this link, it contains a long list with free data sources: http://freegisdata.rtwilson.com/
This is an interesting data source on urban extent I hadn’t come across yet. It is based on Modis data and available at http://sage.wisc.edu/people/schneider/research/data.html and is described in more detail in an article by Scheider et al. (2009). Also check out their website here for more data sets.