In 2013 German public broadcaster ARD made a documentary film about my work for their science programme W wie Wissen. This also features a range of cartogram visualisations that I produced for them. The following clip shows a compilation of the map animations that were shown in the feature, giving an impression of some of the cartographic works and visualisations that I have been working on over the past couple of years: Continue reading
House price monopoly would be a better name for what has turned into a defining political issue ahead of the 2015 general election. As the ONS states in its latest release of long-term housing sales data, “the average price of sold houses in England and Wales has more than doubled since 1995” and “nearly a million properties were sold in 2013.” The dynamics of the housing market is about more than people looking for a place to live. It has become a substantial part of the British economy.
The following cartogram animation puts this trend into a vivid perspective. It shows the absolute value of all housing stock sold in a year for the regions of England as well as the boroughs of London, which itself becomes ever more dominant over the past two decades. Only in economic weaker times it loses some of its pace compared to the rest of England, but stays way ahead of any other region. The animation also takes the absolute value displayed in each map into account by resizing England according to the total value represented in each map, so that the full cartogram itself grows (and shrinks after the crash in 2008) over time:
The 20th session of the Conference of the Parties and the 10th session of the Conference of the Parties serving as the Meeting of the Parties to the Kyoto Protocol is held from 1 to 12 December. For COP 20 / CPM 10 delegates from around the world increased their carbon footprint by heading to Lima, Peru, to hopefully produce more than just hot air. So again it is time to speak about the weather…or climate.
Today I was invited to give a presentation at the quarterly #geomob meetup for location based service developers which this time took place at the Google Campus in East London. In my talk I gave a short preview of the Londonmapper project that I am working on with my colleagues and the Trust for London. Unfortunately technology played some tricks on us and some of the animated bits and content did not show up during the presentation, so that I promised to put these on my blog alongside the slides of the talk. Here we go…
This first animation was an introduction into showing how cartograms work in general. I used a gridded population cartogram animation for Great Britain which I created years ago, demonstrating the approach of using a gridded cartogram to allow other layers being used in the transformed map. The following map (which is rather drafty as it was only a conceptual exercise) shows Great Britain overlaid with a topographic layer indicating the land elevation, as well as some key rivers and a selection of the motorway network. During the animation this map transforms from a conventional land area map into a gridded population cartogram where each grid cell is resized according to the total number of people living there. While the grid cells change their size, the other geographic layers are changed accordingly, so that the final cartogram shows these layers in relation to the population distribution, i.e. at which elevations do people live and how are people linked to major roads. The animation also demonstrates the magnifying lens effect in the most densely populated areas. Motorways and even the curvy shapes of the river Thames become visible now which at such a scale cannot be seen from a normal map. Gridded cartograms hence help to highlight details in these areas that are most relevant in the transformed space.
Predicting future population chances remains a difficult issue. But while popular (and populist) media tends to dramatise every new release of population predictions, it is less often discussed that these figures are one possible scenario for what is an extremely complex issue. Small political and cultural changes in societies can lead to drastic long terms effects that change the future numbers of people within a country. The current estimates are therefore never figures that are engraved in stone, but estimates that look at the current trends that we can observe. The different scenarios therefore have an extreme variability, ranging from a decline down to just above 6 billion to an increase up to almost 16 billion. These are of course the very extreme scenarios in the latest revision of the Unites Nations’ World Population Prospects that has just been released. While it is almost certain that any scenario is likely to not happen in that way, the trends outlined in the report are in important political guideline that tells, what humanity should be prepared for and which economic, ecological and other implications the different scenarios have for the future. The following map shows a population cartogram of the most recent population estimates where each country is resized to its total population in 2013 (approximately 7.1 billion):
In an article for the “In Focus” section of Political Insight (April 2013, Volume 4, Issue 1) Danny Dorling and I looked at the global geography of wealth. The map that I created for this feature displays data published by Forbes Magazine in spring 2012 (updated annualy). For 2012 Forbes counted 1153 billionaires across the globe (this figure includes families, but excludes fortunes dispersed across large families where the average wealth per person is below a billion). The total wealth of the billionaires was US$3.7 trillion – as great as the annual gross domestic product of Germany. Top of this league table is the US with 424 billionaires (or billionaire families), followed by Russia (96) and China (95). The following cartogram animation shows, how the distribution of billionaires and the distribution of their total wealth compares. Although there are only small changes between the two maps, it is quite apparent that the wealthiest in the wealthier parts of the world accumulate slightly higher shares of wealth than those living in the emerging economies such as China (though this may be some of the less worrying inequalities that exist globally):