For those of us working in development and humanitarian work is virtually impossible to get sufficient high quality information and data to help us do our job better. Often the best sources of data are hidden away behind officials and applications that rarely reveal all. Of course such professionals have good reason to avoid scattering data far and wide, anyone seeking the perfect presentations of high level data should check out The Gap Minder by Hans Rosling to be covered in future blogs.
Census data is often one of the richest sources, collected by national statistical institutions it is often available in unadulterated form… that is unadulterated by politicians. Thankfully statisticians being rather geeky are obsessed with the purity of the information they collect and share, in a handful of countries the politicians don’t even get involved in publishing the data so have no influence over it whatsoever… top marks to Norway.
Well opensource colleagues have come to our rescue again see this article by the developer, more can be found at gCensus a mashup of Google Earth and Census data (at this moment only US data). Informaiton Aesthetics brings this to us in full technicolour,
… a powerful web-based mapping & visualization tool based on Google Maps, capable of displaying all sorts of geographic data. gCensus is an effort to make geographic data freely and easily accessible to the public, without the need for expensive GIS software packages. users can freely pan, rotate, & zoom into & out of maps, change the ground angle or alter the transparency of different areas to satellite imagery.
Of course we should not be unfair national statistical offices do make data readily available and often widely publish it, sadly government bodies are rarely up on the latest web technology and for many reasons they may not wish to freely distribute the digital data. But wouldn’t it be marvellous if all census data was published in this manner, I am of course hoping the opensource community worldwide will come to our rescue and provide modules that national statistics offices can adopt, publish their data on the web in readily manipulative form, yet retain appropriate control of the source data also. Experience in the field suggest that this is not such a fantastic idea.