We produce similar mapped information visualizations at Google . Too oft nevertheless these visualizations aren't actually much to a greater extent than than pretty looking maps. Too oft they lack whatsoever existent analysis of the information displayed.
This calendar week I've seen 2 interesting examples of sex mapping. This strikes me every bit an surface area that is ripe for serious analysis.
Geotheory has been looking at Great Britain census information too mapping the manlike individual / woman individual composition of urban workplaces. Gender inward Urban Workplaces shows that inward the Great Britain at that spot are approximately clear areas of discrimination. In London inward item the fiscal districts clearly employ far to a greater extent than men than women. In west-central London (where the shops are) women brand upwards a far greater proportion of the workforce.
In the the United States of America BuzzFeed has been mapping manlike individual too woman individual usage of the bike sharing systems inward New York, Chicago too Boston. The maps position the sex residual of bike stations inward each of the cities.
The information non exclusively shows which stations are to the lowest degree used past times women it too reveals that the percent of women using the bike sharing networks increases at the weekend. This suggests that women are far less probable to commute past times bike than men. One possible argue is that women 'trip-chain' to a greater extent than than men. While men tin laissez passer notice only commute to too from work, women are tasked amongst dropping off kids on the agency to operate too picking upwards the groceries on the agency home.
