Latest Posts

Welcome to my blog!

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 »

G3 – Bridging the Gap between the GeoWeb and GIS

The G3 Project, is a new project led by Claire Ellul and  Kate Jones and funded by the JISC geospatial working group.  The project’s aim is to create an interactive online mapping tutorial system for students in areas that are not familiar with GIS such as urban design, anthropology and environmental management. The project can […]

Continue reading »

‘Digging into Data’ challenge

JISC, the Arts and Humanities Research Council (AHRC) and the Economic and Social Research Council (ESRC), along with five international funding bodies, invite institutions to submit proposals for the Digging into Data Challenge.  The idea behind the Digging into Data Challenge is to address how “big data” changes the research landscape for the humanities and […]

Continue reading »

Oyster

Oyster Flowprint · Visualisation of trips using London’s RFID Oyster Card on the London Underground network · Anil Bawa-Cavia (2010)
[ source ]

This Oyster flowprint visualises trips made using London’s RFID transport card on the London Underground on a typical weekday. Each trail is an individual passenger making a trip, tapping their card at an origin and destination. The actual routes taken are inferred using a simple shortest path algorithm. The animation uses a 5% sample of passengers on the network made available as a Transport for London Data Feed.

Activity on the network is charted along the bottom of the graphic. The double-humped dynamics typical of commuting are evident, and these constitute the characteristic signature of the living city. Twice a day the flowprint expands and contracts, sending its tendrils deep into North London; the diurnal ‘pulse’ of the city in action.

Synchronisation of travel during the morning rush hour, with a steep ramp in activity peaking at 8:40AM, is much greater than during the afternoon, which sees a much broader peak in activity, with people leaving work at a range of times. The afternoon rush hour doesn’t subside until after 7pm, evidence perhaps of Londoner’s love of an after-work pint.

See Also: Flowprint, Boris, PRT, Network, QR, Data, Real Time, Isochronic

Continue reading »

Visualising Public Transport Networks

With the increasingly widespread availability of transport data, we can now visualise and explore new dynamic geographies of urban transport flows and networks. In this post, I show detailed animations of UK multi-modal public transport networks using timetable data. This …

Continue reading »

Continue reading »
1 160 161 162 163 164 175