While much of Europe has been denied a white Christmas, many of us were still having a white snow cover while the clocks went forward for ‘summer’ time this weekend. But although it appears that this winter is never-ending, it mainly comes very late this year. The coldest of temperatures and the main snowfall arrived in February and March, while the early winter months were even above average in some areas of central Europe.
Regular observations are collected regularly by the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satellite, which records data about the land surface temperature (i.e. “how hot the ‘surface’ of the Earth would feel to the touch in a particular location“, a different measure than the air temperature we see on the weather reports every day). This map shows the land surface temperature anomaly this March compared to the average temperatures from 1951 to 1980 projected on a gridded population cartogram where every grid cell is resized according to its total population. The projection used in this visualisation shows, how the world’s population was exposed to the temperature anomalies in the late spell of winter last month:
In 2007 nature conservation organisation WWF initiated a campaign “encouraging households and businesses to turn off their non-essential lights for one hour to raise awareness about the need to take action on climate change” (Wikipedia). The campaign is called Earth Hour and always takes place at the end of March – this year on Saturday, the 23rd.
The Earth Hour campaign has motto of “uniting the world to protect the planet”, although certainly not everyone will join in switching off their lights at 8.30 pm to unite each time zone with a dark night sky (and there is criticism of campaigns like this). But the wealthier parts of the world will be the main focus, as large parts of the poor world live in relative darkness at night anyway. NASA’s composite satellite image of the world at night (as featured on this website before) that gives us an indication of where light pollution affects most of the night skies has just received an update recently. Earth at Night 2012 was published by the NASA Earth Observatory last December, promising nothing less that “It’s the end of the night as you know it; you’ll see fine.” The resolution and level of detail revealed in the data is stunning, so that I reworked my version of the Earth at Night in an equal population projection using a gridded cartogram transformation. The new gridded population cartogram of the Earth at Night gives an equally stunning insight into how human activity relates to the distribution of light at night, showing the already highlighted inequalities that became apparent in the old version of the map in even greater detail where large parts of the populations in Africa and also in some parts of Asia live in the shadows of the wasteful brightness of the wealthy world. The Earth at Night as seen by humanity – an image of an unequal world:
The people of Ecuador are going to the polls today, voting at the first general election after the constitutional court resolved the Democracy Code in 2012. This comes at an interesting time from a British perspective, as WikiLeaks founder Julian Assange still calls London’s Ecuadorian embassy his home. Ecuadorians may care little about this international diplomacy row, and some may be more interested in issues regarding press freedom in their home country. But after many years of economic uncertainty and political instability following the collapse of the banking system in 1999, many other questions will rate far more important at these elections in a country that is extremely diverse for its size, not only in its nature, but also its population.
“Ecuador is a patchwork of indigenous communities, including people of colonial Spanish origins and the descendants of African slaves” (quoted from the BBC Country Profile Ecuador). For a country of only 283,561 sq km size (slightly smaller than Nevada, as the CIA World Factbook puts it), Ecuador has a remarkably diverse natural environment: The continental area stretches from the tropical rainforests in the east over the Andean highlands to the low lying coastal zone. And 1,000 km westwards off the coast the Galapagos Islands form the volcanic outpost of the country.
The population of over 15 million people is concentrated in two of these four major regions: ‘La Costa’ – the coastal region – is home to Ecuador’s largest city Guayaquil (2.3 million people), while the capital Quito (1.6 million people) is located in ‘La Sierra’ – the highlands at an elevation of over 2,800 m above sea level). Despite their high altitude, the Ecuadorian part of the Andes is home to a considerable population almost equal to the coastal areas. The less accessible rainforest region as well as the the Galapagos Islands in contrast are home to only small numbers of people.
The distribution of Ecuadors population is visualised in the following gridded population cartogram (a ‘cartograma cuadriculada de la población ‘ in Spanish), which is a much improved display compared to the original version of this map that I created in 2009 for the World Population Atlas. The improved resolution is made possible by using the LandScan population data which in this case provides a better estimate for the real distribution of people than the SEDAC GPWv3 data. The map shows an equal-sized grid over the land area of Ecuador resized according to the total number of people living in each of the grid cells, so that larger grid cells reflect higher numbers of people, while depopulated areas almost disappear from the map.
The green to brown colours in the map reflect the altitude of the areas, so that the coastal and mountainous regions are clearly distinguishable. The transitional zones of intermediate shadings (and elevations) almost disappear from this map, which shows the relatively small numbers of people living where relief gradients are steepest. The rainforest region (La Amazonía, or also El Oriente as it is situated in the east) which makes almost half of the land area, is equally underrepresented in this map, as it is home to less than 5% of the population. This is the human shape of Ecuador:
A question often asked about Worldmapper is in regard to our choice of colours for the different regions and countries. On the website we briefly explain that the colours used on the maps group the territories into 12 geographical regions, and allow for an easier visual comparison between the maps than would otherwise be possible. The shading of each territory within a region is consistent throughout all of the maps.” But there is a little bit more to the colours which tell a story about the unequal fortunes of the world which follow a general pattern along the major regions.
The colours of the world’s regions are chosen very consciously, and have a deeper sense behind their distribution. We split the world into twelve contiguous geographical regions of population groups, with every region being roughly symmetrically balanced and having at least a population of one hundred million people. This is how the world’s population is distributed:
According to a BBC News feature, “trends in migration are changing. Once, migrants from the same country tended to cluster in areas where they had relatives or friends. But new maps of England and Wales, reveal that for more recent migrants this is no longer the case” The maps of which this quote speak are a short series of cartograms created in collaboration of the BBC with the University of Sheffield in which we took a look at the first set of data from the 2011 Census in the United Kingdom (with much more detailed statistics due early next year). This is how some of the trends analysed by the BBC look like, using a gridded population cartogram of the country as a basemap for the lower maps shown here:
George Osborne’s autumn statement on the government’s budget rekindled the ongoing debate about the fairness of the coalition’s spending cuts. How does it look like if you take a look at the richest and the poorest parts of society? In an article for the “In Focus” section of Political Insight (December 2012, Volume 3, Issue 3) Danny Dorling and I plotted the geography of the wealthiest of the wealthy in the United Kingdom in comparison to poverty.
The map that I created for this feature displays the distribution of the top 1% of the wealthiest 1% according to information published by the agency WealthInsight, one of the companies trying to gather information on this part of the publication that is a prime target for exclusive marketing. Displayed in the map are data on people with assets in excess of US$30 million and where they have their prime address registered in the UK. The extent of the data is very limited because WealthInsight releases data for only 20 UK cities and regions based on postcode areas (Northern Ireland is a single postcode area which is why we did not correlate that data with Belfast’s overall population). Here we have superimposed that data on a population cartogram of the country, drawing circles with an area in proportion to the numbers of super-rich (in red) over people living in each city (in blue). Where they overlap, the circles turn into a purple colour. Where there are more super-rich people than population alone would predict, there is an orange ring around a purple core, as shown around London. Where there are fewer super-rich than the population of a city might predict, there is a blue outer-ring, as around Birmingham. The underlying map shows the distribution of poverty in the UK in five shades of grey.
Cities such as Leeds, Birmingham and Nottingham have fewer super-rich than might be expected – partly because they are not especially affluent urban centres but also, most probably, because their postcode does not include nearby areas such as the North Yorkshire stockbroker belt or the Cotswolds. Aberdeen, in contrast, has some multimillionaires: beneficiaries of the oil boom with an Aberdeen postcode who live some distance from that city. With Manchester it is hard not to speculate that a few extra footballers may have tipped it over the limit.