This week I joined the Department of Asian Studies at Palacký University Olomouc (Czech Republic) as a visiting lecturer by invitation of the CHINET project. In my lecture about New Geographies of China I built on the work I have presented earlier this year at the Conference on the Socio-Economic Transition of China at the same place, teaching the students not only how China’s position is in the global context of demographic, social and economic change, but also how we can visualise this in novel ways. The following three maps are an extract from my presentation that gave an overview of this lecture.
The maps show the distribution of the different age groups in the country divided into children (age 0 to 14), working age (age 15 to 64) and elderly (above age 64) as they are counted in the official Chinese Census released by the National Bureau of Statistics. As the most recent Census figures have not been released at the same level of detail, the following three maps show the state of 2000. Here is an animated version of the three maps showing all three groups one after another (the individual maps are displayed below):
Yearly Archives: 2014
Inequality and Sustainability
“We should … dethrone the idea that maximising the growth in measured prosperity, GDP per capita, should be an explicit objective of economic and social policy.”
Adair Turner, Chair of the UK Financial Services Authority, 2007
Today I gave a talk at the meeting of the Sustainability Knowledge Alliance and the Environment Audit Committee (EAC) of the UK Parliament at the British Academy in London. The event aimed at discussing the relationship between growing inequality and sustainability. As the meeting’s announcement explains, “in so many ways inequality is a backdrop to many features of modern political, economic and social arrangements where structures of self-reinforcing power and influence combine to buttress non-sustainability. We see this in the lobbying for the perpetuation of a carbon economy, in the promotion of the “war on terror”, and in the huge biases built into the interweaving connections between business, politics, regulation and consumerism.”
In my talk I explained how inequality and a consumption correlate. I looked at the issue mainly from a global perspective, using evidence that Danny Dorling and I compiled to find out to what extent inequality and (un)sustainability correlate. The following series of charts give in insight into how the level of inequality and a range of indicators related to consumerism and consumption compare:
Inequality and the ecological footprint
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Child Poverty in London
The Campaign to End Child Poverty has today published new figures showing that London contains 14 out of the top 20 local authorities with the highest rates of child poverty across the UK.
Ebola epidemic (update)
As stated by the Centers for Disease Control and Prevention (CDC), “the 2014 Ebola epidemic is the largest in history, affecting multiple countries in West Africa”. Since the first map series published here in August, an additional 5367 cases and 2294 deaths have occurred, resulting in a total case count of 7492 and a total number of deaths of 3439 for the current outbreak according to the most recent updated published on October, 3rd. These significant changes change the shapes of the cartograms published six weeks ago, not least because the current outbreak exceeds all previous Ebola cases counted since 1977, as the following maps show using the most recent data:
Germany’s Population Growth and Decline
Some time ago I have published an analysis of the changing demographies of Germany on this website (see also the map at the end of this post). I used the data from this analysis to develop some further cartogram visualisations that put the increase and decline into the focus, showing how heterogeneous these trends are evolving spatially in Germany. The following maps show gridded cartogram transformations of population change in Germany in which each grid cell (representing an equal physical space) is resized according to the total estimated population increase (right map) or decline (left map) in the period of 1990 to 2010. They show, how population patterns chances in the first two decades after reunification:
Aye & naw: Scotland’s referendum mapped
55.25% of the votes cast at last week’s independence referendum in Scotland were ‘No’ according to the Electoral Management Board for Scotland (EMB), meaning that Scotland stays a part of the United Kingdom. While the results have been mapped all across the media (I recommend Olli O’Brien’s interactive map for that one), I haven’t come across and cartogram visualisation so far. So here we go…the missing map of the Scotland Independence Referendum 2014: The first two maps show a cartogram of the Scottish Local Government Areas resized according to the total number of votes cast at the referendum. The colours on top of the maps show the (remarkably high) turnout on the left map – apart from Glasgow (75%) and Dundee (78.8%) was above 80% in all areas, figures unseen in any democracies in recent years (compare this for example to the turnout at this year’s European elections or at last year’s general election in Germany). The map on the right shows the share of votes going to either side of the campaign:
