The latest outputs from researchers, alumni and friends at the UCL Centre for Advanced Spatial Analysis (CASA).
Following on from my previous post I thought I would look at London in some more detail. In the ten years between 2001 and 2011 every borough’s population has increased – with the exception of Kensington and Chelsea. The breakdowns…
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Today (16th July) at 11am the Office for National Statistics (ONS) released the first results from the 2011 Census in England and Wales. This included population data at the local authority level, rounded to the nearest hundred in 5 year…
Continue reading »UCL recently hosted their first ever TEDx event, and to my amazement (probably after seeing some seriously dodgy maths themed stand-up I did) they invited me to give a talk. […]
Continue reading »Here are my two presentations from this years GISRUK conference, hosted by Lancaster University. Unfortunately both presentations included animations which slideshare can not cope with, so if you want to have the complete presentation experience you will have to use…
Continue reading »A joint project has been set up between ONS and University College London to develop a new UK Output Area Classification, for which we are seeking your views and thoughts. The new Output Area Classification is planned to be created using 2011 Census …
Continue reading »Creating a new Output Area Classification.
Chris Gale, UCL Department of Geography.
To download a PDF of the seminar please click here.
To download a PowerPoint Slide Show of the seminar please click here.
Abstract.
The current Output Area Classif…
This code reads in a .csv file called LatLon, expecting two columns with headers – Latitude and Longitude (in WGS84, decimal form). If the script is run in the same […]
Continue reading »A few months ago, I wrote a python script to convert British National grid coordinates (OSGB36) to latitude and longitude (WGS84). A fellow blogger Andrzej Bieniek very kindly pointed out that the algorithm […]
Continue reading »In a previous post I talked about the Index of Multiple Deprivation (IMD) in London, and how a “standard” representation only reflects the geographical reality of the land. By utilising a cartogram tool this potential issue can be overcome by rescaling each areal unit by its resident population, for the IMD I used mid-year population estimates available from the Office for National Statistics at Lower Layer Super Output Area (LSOA) level. To add a layer of context to the previous maps, I have constructed cartograms for London to illustrate the change in population between 2001 and 2009. I have used 2001 census data along with 2009 mid-year population estimates to calculate the percentage change for each of the 24,140 output areas (that contain on average 250 individuals nationally) that make up Greater London for the age ranges: 0-4, 5-14, 15-24, 25-44, 45-64 and 65 and over. To create the cartogram aspect of the maps I have used the total population of that particular age range in 2009 to rescale each areal unit. I have also produced the same population change maps using the “standard” representation of London to allow comparison with the cartograms. The results of this can be seen […]
Continue reading »At the Complex-City Workshop held at the Tinbergen Institute in the Free University of Amsterdam held 5-6 December 2011, CASA presented a variety of papers. Alan Wilson presented a paper […]
Continue reading »I wonder how long I can carry on working at the Centre for Advanced Spatial Analysis and still manage to avoid learning any GIS. This week: Bezier curves, how to […]
Continue reading »I submitted my PhD thesis in January 2011, and was awarded the degree after my viva in March. You can see the thesis in in full by clicking on the…
Continue reading »In the past few weeks our mathmo team: Toby Davies, Peter Baudains and myself, have been looking into some of the reasons why the London riots happened. If we […]
Continue reading »A couple of days ago I saw a post on twitter about the proof that 1 + 1 = 2 by Alfred North Whitehead and Bertrand Russell. It appears in…
Continue reading »On my previous post I talked about the Index of Multiple Deprivation (IMD) in a London only setting. A common trait with the maps I created and those you can find elsewhere is the use of LSOA boundaries that reflect the geographical reality of the lay of the land. When concentrating on London in particular this does have an impact on how you perceive deprivation. This is in part down to how Lower Layer Super Output Areas (LSOAs) are constructed. An LSOA by design has to contain at least 1,000 residents and 400 households, with a national average of around 1,500 residents. London of course does not just consist of the denser populated core, but also more rural areas on the outskirts. As the methodology dictates that each LSOA has to have at least 1,000 people in it, the geographical extent of LSOAs tends to be larger in these more rural areas. This means visually they will be more dominant than central areas and can give a “false” impression as to how much of London’s population live in either more or less deprived areas. In an attempt to try and address this visualisation problem I have used the Cartogram Geoprocessing […]
Continue reading »The Index of Multiple Deprivation (IMD) is a measure of the “deprivation” of any given area. A combination of indicators covering a range of economic, social and housing issues, allow for a single deprivation score to be constructed, and these scores are then ranked. The data for the 32,482 Lower Layer Super Output Areas (LSOAs) that make up England was released in March 2011 for the 2010 IMD. This showed the rank of each LSOAs deprivation, ranging from 1 to 32,482. Fortunately due to a similar methodology being used to construct the 2010 IMD, it possible to compared it with the previous IMD released in 2007. Instead of focusing on a national scale I have re-ranked the data for London’s 4,765 LSOAs for both the 2007 and 2007 IMDs. Each of the 4,765 LSOAs have had their new ranks split into deciles, which is what is displayed on the maps below. This means there are roughly 476 LSOAs in each decile, or one tenth of all the areas in the dataset. Move your mouse over the picture, to swipe between the 2007 and 2010 London IMD. Show dividing line? I was inspired to use the “scrubber” technique by Oliver O’Brien, […]
Continue reading »If we’re being accurate, the title should really be “The importance of using appropriate temporal spacing when applying a discretisation to a continuous time scale”. But I felt the above…
Continue reading »TweetI didn’t want to leave a blank space while I am still constructing my first blog post, so I thought I would introduce myself and give you some idea of the work I am doing. My name is Chris Gale and I am in the first year of my PhD at University College London. The main theme of my PhD is to create better area classifications for the 2011 Census in partnership with the Office of National Statistics. An important part of this will be while a new classification methodology will focus on the 2011 Census, it will not be limited by it as other data sources will be used. I shall also be looking at new modes of dissemination that better utilise web technologies and new advances in GIS and geodemographics. Currently in-between lecturing a GIS course at Kingston University London and demonstrating on various courses at UCL I have been focusing my attention on OAC and London. I will go into more detail at a later date but I find this to be an interesting starting point for my research. This is mainly due to OAC classifying a large proportion of London as ‘Multi-cultural’, asking the question, can London be included within any national classification in […]
Continue reading »Challenging Engineering is an EPSRC programme aimed at supporting individuals in building a research group and to ‘establish themselves as the future leaders of research’. As can be imagined, this is a both prestigious and well-funded programme – it provides enough resources to establish a group, recruit postdoctoral and PhD researchers, visit external laboratories and […]
EveryAware is a three-year research project, funded under the European Union Seventh Framework Programme (FP7). The project’s focus is on the development of Citizen Science techniques to allow people to find out about their local environmental conditions, and then to see if the provision of this information leads to behaviour change. The abstract of the […]