NASA’s night lights imagery published in the Earth Observatory provides a stunning view of our impact on the planet. The following map of Europe at night is an extract of my gridded population projection of the the Earth at night showing more detail of where the distribution of night lights is on the European continent in relation to its population distribution (the surrounding areas such as the northern tip of Africa remain unchanged, hence shows a ‘normal’ land area perspective). Europe is one of the few regions globally (alongside North America) where light pollution at night is very much a phenomenon that is ‘normal’ for the vast majority of people who see very little of the night skies (hence the dominantly bright areas in this image – dark spots are those areas where people live with very little light pollutin). Northumberland Dark Sky Park (which gained Dark Sky Status by the International Dark-Sky Association in December 2013) is now to be known as Europe’s biggest Dark Sky Park and the largest unspoilt area in this regard, squeezed in the sparsely populated bright spaces between Northern England and Southern Scotland in this cartogram:
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.
This feature was compiled in collaboration with Phil Baty of Times Higher Education and first appeared in the World University Rankings 2013-2014. In the following blog post we put the rankings results into a human and economic perspective (modified version from the original article). The two maps show the top 200 Universities from the Ranking displayed on two different kinds of gridded cartograms:
Wilderness and remote areas are a diverse element in the patchwork of spaces that form the land surface of our planet. Only very small amounts of people are living in sparsely populated areas, which is an expression of the strong organisation of human societies to maximise those living in close relative proximity. More than half of the world’s population now lives in areas categorised as cities, and although more than 95% of the world’s population live in approximately only 10% of the land area, the remaining 90% of space on land are far from being uniform remote or even wild areas.
There are very different ways of how the un-built area that still makes the largest share of land can be understood in terms of being under influence and in reach of human civilization. Only 15% of people in rich countries live more than an hour of travel time from a city (of at least 50,000 people), while the same applies to 65% of people living in the poor countries of the world. This paper demonstrates a different approach to visualising and understanding these loneliest places on the planet by using a technique called a gridded cartogram transformation. The following map shows a gridded cartogram visualising the relative distance of areas to the majority of people. The maps derived from the distorted grid show the physical space transformed according to the absolute travel time that is needed to reach the nearest major city by land transport averaged over the area of a grid cell, resulting in a map that gives the remotest places most space and provides a unique new perspective on the spatial dimension of remoteness:
The following map series is a comprehensive overview of the individual second vote shares of each of the parties represented in the new parliament after the 2013 general election (in order of their absolute vote share) and a look at the change in votes compared to the Bundestagswahl 2009 for the party who were in parliament during the last term. I also mapped a few of the smaller parties that are most relevant in the public debate. Please note that the following page may take a while loading due to the large number of maps and their respective filesize. Continue reading
The story of an election in a modern democracy has recently more and more turned into the story of a non-vote, as turnout at elections is on a general decline in many countries. That does not always reflect a certain libertarian strategy (otherwise the strive for anarchism would be stunningly on the rise), but can more likely be linked to an apolitical attitude. So how many Germans did choose to not cast a vote on this year’s general election (see the full results of the Bundestagswahl in this blog post)? 71.5% went to the polls last Sunday, so 29.5% of the electorate did not, which is slightly lower than the 29.2% non-voters at the 2009 election, though one can certainly not speak of an upward trend here. The following map gives an impression of this quite interesting geographical pattern that is far from evenly distributed across the country. The second map shows another group of voters who did not make their voice heard: The 1.3% of spoilt votes which again show a certain geographical distribution and are not completely evenly distributed. Even in the non-votes lie many spatial stories: