This repo contains static files of data for use in the WWF Pods project. Subfolders should give you some idea of what the contained data consists of, and there is a seperate readme in many of the folders with background information
If you are working on a project with any of this data, we'd really appreciate it if you could use a standard WWF header. This is provided as an HTML fragment + CSS in the Kit Of Parts (indluded as a zip file in the WWF Design Elements folder - sorry, I can't figure out git submodules)
If you have ANY QUESTIONS this weekend about this, please email me - kim@storythings.com or kim.plowright@gmail.com - my mobile number should be available from any WWF people around / on the brief.
We have created a system which ingests data sources (eg, CSV files published from google spreadsheets) and indexes them, making them available through a JSON API. It's nickname is the tabulator - there's a seperate readme for it available.
Interesting sources are:
Updates from a Rhino warden in the field. NB DO NOT attempt to geolocate rhino: this places them at severe risk from poaching, and also risks sending our rhino staff to prison, as this is a punishable offense in Kenya
The rhinos that might be mentioned in the reports - DOB, weights...
Tracking data from hyena collars
Available as a spreadsheet in the repo (see readme, and also geolocation data), and also via
Measurements from a sonde in the Mara River. Available as a spreadsheet in the repo (see readme, and also geolocation data)
Available both from within the brain, and as a completely seperate API thanks to @infovore
All CSV sources in the can be accessed at this endpoint:
http://wwf-admin.appspot.com/collection/agtzfnd3Zi1icmFpbnITCxILQ29sbGVjdGlvbnMY6qMmDA
Lists of other possible data sources are in a google spreadsheet here:
(arranged in sheets)
These are very varied, and classified roughly as geographic, species, etc, and refer to which 'pod' (think: topic) they relate to. Some are more general - eg global weather data, species taxonomies etc. All are annotated reasonably well: I've done my best to provide developer-friendly notes!
There are also content sources listed: these might be best consumed via the Mara Pods collection:
http://wwf-brain.appspot.com/api/content.get?status=approved&tags=pod:mara
Note status=approved - the Pods system allows some editorial control to prevent leaking sensitive data.
##Some interesting ideas:
How does river height change affect movement of hyenas? They tend to follow wildebeeste herds, which migrate according to rains...
How could we combine high resolution satellite data with on-the-ground reports? What could we demonstrate to people?
There's some Kenyan govt data in there about flush toilets per dwelling: what happens if this is added to the Mara River data?