As a cyclist in London you can do your best to avoid left turning buses and dozy pedestrians. One thing you can’t really avoid though is pollution (although I accept cyclists probably aren’t much worse off than pedestrians and drivers in this respect). To illustrate this I have taken data for 3.2 million journeys from the Barclays Cycle Hire scheme and combined it with GLA pollution data for particulate matter. Unsurprisingly, pollution is worse at junctions and where there is lots of static traffic, with the popular cycling routes around Waterloo Bridge and the Strand particularly affected. Most of the journeys are subject to relatively low (by London standards) levels because cyclists try and avoid the busiest routes, such as Euston Road. The loop around Hyde Park is really popular with Boris Bikers and fortunately one of the least polluted but clearly more could be done to sort out the pollution hotspots around the west end.

The routes have been guessed using routing algorithms and OpenStreetMap data and optimised for cyclists (ie we assumed that people would prefer cycle lanes over roads etc). Thanks to Ollie O’Brien for this analysis. You can see more of his work here. I produced this map using the R software package and blog about how I did it here.

If I said a country was 1594719800 metres squared it would mean a lot less to you than if I said it was about the size of Greater London (so long as you know about how big Greater London is). For this reason the media tend to report the extent of a flood in relation to the size of the Isle of Wight or Icebergs in relation to the size of Wales (or Luxembourg) so that we can imagine the extent and scale of a disaster or news story. Despite plenty of comment on how ridiculous such comparisons are, and a great website that will convert standard measurements into the fractions or multiples of the size of Wales, I am yet to see a mapped representation of our increasingly standard units of area. The one I produced above is not meant to be definitive, just a starting point to what I hope will be a new system to replace the frankly inadequate* metric measures we are used to.

A much more effective alternative to simply stating an area in terms of its relative size to another area is of course to produce a map.  Geographically correct maps contain most of this information in the first place but they aren’t much good if you want to compare two things at either ends of the World or even the Solar System. With loads of mapping data online it is now easy to start shifting things around and laying them on top of each other in the same way the BBC’s How Big Really? website does.

This is fine if you want to compare a couple of things, but the map gets messy if you want to do more than that. For more complex comparisons you need to start with a fresh map (be careful of the projection) and shifitng everything around to fit on a single page. Doing this can have a big impact as Kai Krause did with his “True Size of Africa” map.

…sparsely populated areas (UK Cities on top of the Highland region of Scotland by Alasdair Rae)…

…and their transport systems such as subways (by Neil Freeman)

and cycle hire schemes (by Oliver O’Brien).

I think they offer a new perspective on the world and use maps as more abstract forms of information visualisation, so lets hope we see them more often to accompany the usual descriptive “relative to Wales” statements.

*I don’t seriously mean this.

It would be a shame to end the year without a festive map! Jack Harrison (@jacksfeed) is studying for a research masters in “Advanced Spatial Analysis and Visualisation” at UCL. I teach on the course and it obviously hasn’t worked Jack hard enough this term as he has had time to slack off and produce this great map of Christmas festivities based on information from Wikipedia. As with all good maps, it speaks for itself and I think it is a great way of showing the difference in celebrations, especially as the Anglo-American view of Christmas is (unsurprisingly) so dominant. It also serves as a splendid last post on the blog for this year. Merry Christmas, and see you in 2012!

As 2011 draws to a close it is worth reflecting on what, I think, has been a defining year for mapping and spatial analysis. Geographic data have become open, big, and widely available, leading to the production of new and interesting maps on an almost daily basis. The increasing utilisation of technology such as Google Fusion Tables has made it easier than ever to map data. Sadly the number of bad maps is on the increase as a result (largely thanks to the web’s preference for the Mercator projection and push-pins) and I hope things will improve (over to you Google!) next year. To inspire another year of mapping, and in no particular order, here is the spatialanalysis “Best of 2011″. The maps here have been popular, engaged users, innovated, and raised the bar for cartographic standards. I bet I have missed some so feel free to link to your best map in the comments section.

Paul Butler’s Facebook Connections Map

This just sneaks in as it was produced in December 2010. The map is important for what it doesn’t show (most of Africa for example) rather than what it does. It has served as an inspiration for many others, and raised the bar in terms of the detail and extent of social media mapping.

National Geographic Surnames Map

I think the National Geographic Surnames Map is one of an increasing number of brilliant typographic maps that have been produced in the past year.  Typographic maps can show many variables (using colour, font size etc) and are often instantly engaging. This one was especially popular alongside its “sister” map of London Surnames.

Galaxy Survey Fly Through 

I really like this video as it serves to demonstrate just how vast the universe is. I spend my life mapping a few things over relatively small geographic areas and there is plenty for me to do. We have barely even started mapping the universe and I think this video captures the immensity of the undertaking.

iPhone Tracker

This map is not featured for its cartographic brilliance but for its unveiling of the volume of data our electronic devices, in this case iPhones, are capable of collecting. It served as a wake up call for many that data about our locations are collected all the time and it is easy to track where you have been.

Fedex Cartograms

Cartograms are becoming an increasingly popular way of mapping population data. I don’t have a problem with advertising so long as it is informative as well. I think these maps tick the box as they provide the best animations I have seen of cartograms morphing from one dataset to the other so I’m happy to give fedex a plug for this one.

Naming Rivers

The “Naming Rivers” map shows how different cultural and linguistic factors have influenced the naming of geographic features in the US. We talk about how we live in a “world without borders” but this plainly isn’t true as things we encounter on a daily basis are still influenced by the uneven movements of various populations over time.

Scientific Collaboration

This map, inspired by the Facebook connections map (above), demonstrates the dominance of a few countries within the scientific literature and the limited collaborations between a few countries. This pattern is seen in many datasets and is another illustration that  “global” is often only a minority of countries.

Eric Fischer’s Twitter Language Map

I really liked these maps both for their cartography but also for their demonstration that linguistic and national borders can be seen online as well. There has also been a tendency for fine scale mapping of Twitter data so it is nice to get a global perspective.

ITO 10 Years of Road Casualties UK (and US)

As I was writing this, the BBC have launched their own visualisations with this depressing data. It is often said that in the context of modern health and safety standards the car would never have been allowed. With maps such as the above it is easy to see why. ITO World have tried to be more intelligent with their use of icons- they have moved beyond the simple “pins on maps” we often see. It doesn’t work so well at the regional level, but as you zoom in clear accident hotspots unfortunately emerge.

NOAA Japanese Tsunami Wave Height

This year saw a devastating earthquake and subsequent tsunami hit Japan. NOAA produced a series of excellent maps and visualisations to help chart and explain the events. The map shows likely tsunami wave heights. I found it interesting as it shows both the extent of the waves and the way in which they appear as tentacles circling Earth.

BBC Brief History of Time Zones

Good maps help to educate and I found the above interactive globe from the BBC a really great way to learn about time zones. The BBC are becoming increasingly ambitious with their maps and I think they have excelled themselves with this one.

xkcd’s What Your Favourite Map Projection Says About You

This captures the different opinions on some of the many map projections perfectly. You may have gathered from the opening lines of this post that projections are really important and often considered too complicated to bother with. I’m all for the Winkel-Tripel although I can’t claim to have been a fan before the National Geographic adopted it, as I would have been too young to care at the time.

Transport for London have just released their performance data (link here) for the London Underground network. It is in the form of a really detailed file that contains, amongst other things, the “Peak Operated Kilometres” and “Peak Passenger Journeys” for the past 6 years or so. If you total the distances covered by the Tube rolling stock at peak times, this map shows how far they travel each day. The Central Line wins with over 13,000km – the equivalent of almost reaching Australia! In humble last place is the Waterloo and City Line that just passes Dublin with a little over 500km travelled. There are many more cool things to be done with the data, but I thought this is a neat way of showing the gargantuan task of shifting London commuters!

I think mapping Twitter’s engagement with the academic literature is important as it echos the map below and provides another example of the dominance of researchers (both in terms of access and production) from a few countries in the academic literature.

You can see how the “hotspots” of collaboration allign with the hotspots of tweets below.

One thing academics strive for is “impact”. This can mean many things, but one often applied criterion is the number of people outside of your immediate academic community that read your work. Twitter is becoming increasingly cited as an example of impact (for example how many followers an academic has), but as these maps demonstrate, much of the engaged audience is already where work is relatively easily accessible.

About the data from Altmetric:

“This dataset lists the ~ 58k tweets that mentioned a scientific article (broadly speaking anything with a DOI, PMID or arxiv ID) between the 1st and 31st of July 2011.

Recall isn’t 100%: my best estimate is that it’s missing another ~ 6k tweets where the article couldn’t be identified, the link was malformed or the journal involved is new or gets very low traffic.

Twitter’s TOS prohibit re-distribution of the tweets themselves but the dataset contains the extracted links, the tweet ID and some information about the tweeter (screen name, country & lat/lng derived from their location using Yahoo! Placemaker).“

The number of rivers in the US, combined with Derek’s brilliant design, make this a really compelling map. Inspired by this work I have quickly (with much less cartographic flair) extracted the major rivers and streams in Great Britain from the Ordnance Survey’s Strategi dataset and coloured them according to whether they are a “river”, “canal” (not sure if this really counts in terms of naming), “water”, “afon” (Welsh for river) and “brook”. You can see that a clear geography exists. I was not surprised by all the “afons” being in Wales but I was surprised to see so many “waters” in Scotland.

On the topic of naming, settlement names also have a clear geography as they, like rivers in the US, reflect the different settlers (or invaders!) of the British Isles over millennia. The map below (taken from my thesis) shows the different naming influences on settlements in Britain. The most striking aspect is the abrupt end to the Viking settlement names along what is called the Danelaw Line. So if you live north of this line you will be using more Viking words on a daily basis than those to the south. There are loads of people studying and recording the different place naming conventions in Britain- I would recommend you check out the “Institute for Name Studies” if you want more information.

The map below uses the increasingly popular cartogram method to show the success of students in each Local Authority (LA) across England. The non cartogram version is also shown alongside.

This is quite a coarse map as England is only split into the 152 LAs and we know there is much greater variation between schools at a local level and even sometimes within individual schools. Moreover, schools on authority borders often serve communities from the areas on either side, limiting the application of LA data to their populations only. Independent (fee-charging) schools are also included in these broad LA results, which is significant when we take into account the predictably higher results of fee-paying pupils and the fact that these schools have not been established with regard for even distribution across the country.  The size of the LA (in school-age population terms) does not seem to have a strong link to the results of its pupils. There must be other factors at play. Concerning known evidence indicates that a pupil’s level of deprivation has a stark impact on his/her attainment. This is supported by the plot for London below that shows the relationship between a borough’s national deprivation rank (known as the index of multiple deprivation or IMD).

Another way to show represent this information is by mapping the 2010 GCSE scores for each of the London Boroughs and resizing the borough so that it represents the levels of child poverty (measured by number of under 16s receiving means-tested benefits).

Again, the map above is not perfect as it is still quite generalised and shows only one of the many measures of child poverty that are used. Both maps also show only one measure of attainment the “GCSE or Equivalent” score. The “or Equivalent” bit is important here as it covers a wide range of more vocational qualifications (called NVQs) that are often perceived as less academically challenging and can be a way for students to get the equivalent of 5 A* to C grades including English and maths (a key educational benchmark) without having to be proficient in these core subjects. This is important as schools in England are often ranked by the proportion of their students achieving this benchmark resulting in a possible bias towards the schools offering more vocational subjects and against those offering more challenging ones such as modern languages. It is interesting to consider whether the nature of equivalent qualifications makes them more likely to be used by certain types of school and to explore this further I have produced the plots below. The codes are as follows: AC= Academy, CTC= City Tech. College, CY= Community School, CYS= Community Special School, FD= Foundation School, FDS= Foundation Special School, IND= Registered Independent School, INDSS= Independent Special School, NMSS=Non-Maintained Special School, VA= Voluntary Aided School, VC= Voluntary Controlled School (if you are as baffled about these as I was see here or here).

The plot shows 9 regions of England. Each point represents a school in that region and is coloured by its type. On the x-axis is the inverse (higher= better) regional ranking of the school based on its GCSE scores only and on the y-axis is the regional ranking if “equivalents” are included. If the inclusion/ exclusion of  equivalents made no difference to the rankings then the points would follow the grey lines perfectly. In reality we get schools falling either side of this line with those under it benefitting if equivalents are counted and those above benefitting if they are excluded. For example, broadly speaking independent schools (light blue) look worse when GCSE equivalents are used in the ranking criteria and therefore would benefit if such qualifications were excluded. This also seems to be the case for the voluntary controlled schools in pink. Academy Schools (orange) however do much better with the inclusion of equivalent qualifications perhaps reflecting a more vocational emphasis to their curriculum. There are also some interesting regional distinctions with independent schools, for example, in the South West and South East appearing to do well whatever the ranking criteria whilst the East/ West Midlands and the North East present a more mixed picture. I think a lot more can be said about these plots so I would welcome comments!

The image below shows an assortment of map projections of the UK (and one of Great Britain). These have all been taken from Wikipedia so the level of detail along the coastline varies a little. They demonstrate nicely the effect that different map projections can have on the shape of a country.

As you can see, some of the projections have squashed the UK whilst others have stretched it or changed its orientation. The British National Grid is the best representation because it has been designed specifically for Britain. It is the projection you will see used on Ordnance Survey maps and therefore most printed maps of the UK (it is rarer to find it online). Whilst excellent for Britain, the National Grid projection does not work on a global scale because it would cause massive distortions to the other countries.  Instead, we should apply global projections, which need to be chosen carefully depending on their purpose and the scale of the map being produced. A poor choice of projection can have significant consequences because the relative size of a country on a map matters. Perception of country’s size is a delicate issue: in international politics, for example, countries which appear small on the map fear being overlooked. Indeed, this has long been the argument against the commonly-used Mercator projection, especially with reference to Africa, which appears relatively small on maps of this style. This effect is seen in Kai Krause’s “True Size of Africa”.

However, even this map has been criticised for using an inappropriate projection. The Economist, for example, responded by producing a map that maintains the correct relative areal proportions between each of the countries included (with Gall’s Stereographic Cylindrical Projection). Nonetheless, both maps illustrate the way in which our perceptions of this vast continent have been altered by “mainstream” mapping practices.

The Economist

The most widely used projection (in the Western World at least) is the Mercator Projection, but as the West Wing explains this has a number of flaws that are often overlooked…

If you are interested in where people live, then the above picture may also be misleading. It is possible to alter projections so that the size of the country on the map is influenced by its total population.

Mark Newman

It is clear that cartographers can produce different views of the world. We, as informed consumers of maps, need to be aware of this, to think twice about what we see and to consider how the information would look if projected differently. More importantly, by asking why the cartographer chose the projection they did, we may even be able to learn something beyond what we see on paper.

Following my previous post I have been digging around archive.org for interesting spatial/ geographical related resources. A search for “geographic” yielded a number of back issues of the National Geographic Magazine. They date back as far as 1888 and contain some great images and maps. There are some real gems to be had, such as the “Scenes from every land” series (link to one here) that contain century-old photographs from every continent. I was also amused to see an article titled “Notes about ants and their resemblance to man“. I have shared a few of my highlights here.

The top map is taken from the 1907 edition of “Scenes from Every Land”. It shows a map of the world with its key trade routes. I suspect today’s equivalent would be much more complex such is the nature of contemporary global transport.

My final two favourites are taken from the 1894 edition of the National Geographic Magazine and illustrate climatic variables for the USA. The top shows the mean temperature for the hottest 6 weeks of the year, and the lower map shows the sum of daily mean temperatures above 6 degrees. Despite their age I really like the clarity and detail in these maps.