WikiLeaks Map: How Leaky is Your Country

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WikiLeaks is a multi-jurisdictional public service designed to protect whistleblowers, journalists and activists who have sensitive materials to communicate to the public. Since July 2007, they have worked across the globe to obtain, publish and defend such materials, and, also, to fight in the legal and political spheres for the broader principles on which our work is based: the integrity of our common historical record and the rights of all peoples to create new history.

The question is which countries have the most leaks, what you need to 'How Leaky is your Country' by Ben Blundell here at CASA, University College London.

Written in HTML 5 the site trawls WikiLeaks daily and maps the outputs, it is well worth a look. Go to http://www.section9.co.uk/wikileaks for full info (it works best in Chrome).

A deeper analysis is forthcoming along with various new features, this is purely a first stage but an interesting one....

MRes Advanced Spatial Analysis and Visualisation: Curriculum, Aims and Admission

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Below we provide full details for 2010 entry on the new MRes in Advanced Spatial Analysis and Visualisation (ASAV). The course reflects the current state of play in geographic, urban and architectural information systems with an emphasis on visualisation, analysis and modelling. Taught at the Centre for Advanced Spatial Analysis, home of digital urban, it is an innovative and exciting opputunity to study at UCL with a MRes acting as a pathway to a PhD or further career in ASAV.

Course Executive Summary

The Centre for Advanced Spatial Analysis (CASA) is an initiative within University College London to develop research in emerging computer technologies in several disciplines dealing with geography, space, location, and the built environment. As an interdisciplinary research centre expertise is drawn from archaeology, architecture, cartography, computer science, environmental science, geography, planning, remote sensing, geomatic engineering, and transport studies. The Centre is located within The Bartlett at UCL, from which it is administered but it has associated students and faculty in other faculties, specifically in Geography and in Civil (Geomatic) Engineering. This structure generates a unique blend of knowledge forming the core of the MRes ASAV.

The MRes is unique in its focus on complexity, modelling, mapping and visualisation, pulling together the latest research in urban form, functionality and communication. Recent changes in the rise of web-based technologies and the development of low cost yet complex visualisation and analysis packages has generated a notable change in the demand for more traditional vendor specific information systems and computer aided design courses.

The MRes ASAV reflects this change with a look towards Web 3.0 (Read, Write, Execute) technologies and methods to deliver skills required for current/future professionals and policy makers engaged in spatially related projects.


Curriculum Structure


The course has a strong research component based around developing new methodologies from new task specific software and techniques that have emerged as part of what may be termed the ‘Web Revolution’. CASA has been at the forefront of these changes that have impacted the way we share, communicate and distribute information, specifically information relating directly to geographic and spatial entities. These changes have steadily emerged since the mid 1990’s and it is now quite clear that location and space now represent a third force in information technology besides more traditional computer and communication science.

We reflect these changes within the interlinked laboratory-research-based mini project with data collection focused on ‘remote data mining’ rather than fieldwork in the traditional planning/geographical/architectural sense. Indeed these research led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions.

Vast amounts of previously unused data are becoming available either from changes in accessibility, due to the nature of the network and cloud based computing, changing national data policies or more widely as a result of new mass data collection methodologies.

Course Aims

The programme aims to provide training in the principles and skills of social and spatial research. Its aims include a strong understanding of qualitative and quantitative research methodology and methods of data collection and analysis to support and enable independent and group research projects. In addition to focusing on research skills, subject specific modules provide students with the opportunity to develop an excellence in spatial analysis with the specific skill set to engage and contribute to the current debates in urban and spatial continuums.

Course Delivery

The course runs full-time over 12 months. The taught element of the course is delivered on two days per week over the first two terms.

Modules

BENVGSA1 - Group Mini Project: Digital Visualisation
The module introduces the students to methods of visualisation and data mining within the geospatial domain. Developed as a group project the module aims to provide an understanding of the juxtaposition between research, data capture and data display methodologies. As such the module is developed to build upon the taught sections of the course (BENVGSA3 and BENVGSA4) to develop initial research questions for the dissertation (BENVGSA2). Project assessment will be on a group basis.
Credits: 30
Terms: 1 and 2


BENVGSA2 - Advanced Spatial Analysis and Visualisation MRes Dissertation
The module is based around the writing, preparation of an original research project in the form of a Masters Dissertation. Students will be required to plan the research and dissertation from an early stage with ongoing development building on both the mini-project and taught courses developed through the year. The research topic will be defined under the guidance of the students dissertation supervisor with the support of the Course Director. The aim is to produce a unique, individual piece of work with an emphasis on data collection, analysis and visualisation linked to policy and social science orientated applications.
Credits: 90
Terms: 1, 3, 4

BENVGSA3 - GI Systems and Science
The aim of this module is to equip students with an understanding of the principles underlying the conception, representation/measurement and analysis of spatial phenomena. As such, it presents an overview of the core organising concepts and techniques of Geographic Information Systems, and the software and analysis systems that are integral to their effective deployment in advanced spatial analysis.
Credits: 15
Term: 1

BENVGSA4 - Spatial Modelling and Simulation
This course will introduce students to the theory, principles and applications of mathematical and computer modeling as applied to cities. It will be based on five interrelated themes: an introduction to definitions of models as they relate to the philosophy of science; the model-building process involving calibration and prediction; types of urban models ranging from land use transportation models, microsimulation, discrete choice, cellular automata and agent-based models; the exploration of two specific types of model, namely land use transportation; and then cellular automata ABM.
Credits: 15
Term: 2

EDUCGE01 - Investigating Research
EDUCGE02 - Professional Development in Practice

ADMISSIONS

For details of how to apply, please see http://www.ucl.ac.uk/prospective-students/graduate-study/application-admission If you decide to apply, you will need to submit an application form, two references (either two academic references or one academic reference and one work reference), transcript(s) of your degree(s) (must be officially translated if applicable). Please note that all application forms and supporting documents need to submitted directly to the College Admissions Office (address on application form).

Informal enquiries should be directed to the course director, Dr Andrew Hudson-SmithThere are no application deadlines for any Bartlett programmes but we do advise applicants to apply sooner rather than later, as once offers of admission are issued for all the vacancies available, it is no longer possible to issue any further offers of admission to applications which are received subsequently. We would advise that you seek to submit an application no later than June 2011 if you wish to be considered for the 2011/12 academic session.

City Tweet Meter: Adds Graphs, Dials, London ahead of New York

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Our Tweet-o-Meter which keeps track of tweets per minute within a 30km area of New York, London, Paris, Munich, San Francisco, Barcelona, Oslo, Tokyo, Toronto, Rome, Moscow and Sydney, now features graphs. We are currently running dynamic graphs for each city over the last hour with 24 hour graphs online next week. The results are interesting, London is just ahead of with New York on number of tweets with Oslo, Rome and Sydney in the lower ranks.


Currently in beta, the meter is part of our wider 'Ask' tool which will allows anyone to 'mine' data from Twitter or carry out a survey of either the world, a continent, a nation, a city or a local area. In short, we think it has notable potential for social science and the analysis of trends and relationships in a variety of areas.

We have run various beta tests on data collection with the main mining process starting next week over a 24 hour period. We aim to collect all tweets with a geo-location tag in the above cities, this is a large amount of data allowing various social, spatial and temporal analysis to be carried out.

The system is under development here at CASA as part of a wider survey tool as part of the NeISS project being coded by Steven Gray in association with Urban Tick, currently carrying out analysis on the data sampled so far.

We are moving it into the 'real world' as well with a series of Tweet-o-Meters linked to panel meters sitting on our shelves here in CASA:

Analog Tweet-O-Meter from Benjamin Blundell on Vimeo.

Take a look for yourself - The City Tweet-o-Meter

Steam Punk Beta Tweet-O-Meter

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As regular readers will know our Tweet-o-Meter features tweets per minute within a 30km area of New York, London, Paris, Munich, San Francisco, Barcelona, Oslo, Tokyo, Toronto, Rome, Moscow and Sydney.

Ben Blundell, here at CASA, has taken some time off from our TOTeM project and has hooked up a series of panel meters to the script via a custom arduino module. The result is a suitably 'steam punk' version of Tweets per minute in New York, London and Paris. We would of hooked up Munich but ran out of meters:

Analog Tweet-O-Meter from Benjamin Blundell on Vimeo.

All it needs now is a brass case and an 'on/off' handle...

Currently in beta and part of our wider 'Ask' tool it allows anyone to 'mine' data from Twitter or carry out a survey of either the world, a continent, a nation, a city or a local area. In short, we think it has notable potential for social science and the analysis of trends and relationships in a variety of areas.

We have run various beta tests on data collection with the main mining process starting next week over a 24 hour period. We aim to collect all tweets with a geo-location tag in the above cities, this is a large amount of data allowing various social, spatial and temporal analysis to be carried out.

The system is under development here at CASA as part of a wider survey tool as part of the NeISS project being coded by Steven Gray in association with Urban Tick, currently carrying out analysis on the data sampled so far.

See http://www.casa.ucl.ac.uk/tom/ to view the Tweet-o-Meter, we should have some early analysis soon and graphs for the cities within the next day or so. For those too young or perhaps simply nostalgic for the late 70's/early 80's hit that inspired the work, here is PopMusik via YouTube (its great...).

Thanks go to Ben and Steven for their work on this - see Bens http://www.section9.co.uk/, and Stevens http://stevenjamesgray.com/ for more info on their work both inside and outside of CASA time. Thanks also go to Russ Garrett (russ.garrett.co.uk/) and the London Hackspace for help with the code.

Data Mining and Tweet-o-Meter now with Moscow, Rome, Toronto and Sydney

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Our data mining tool Tweet-o-Meter now features tweet per minute within a 30km area of New York, London, Paris, Munich, San Francisco, Barcelona, Oslo, Tokyo, Toronto, Rome, Moscow and Sydney. Currently in beta and part of our wider 'Ask' tool it allows anyone to 'mine' data from Twitter or carry out a survey of either the world, a continent, a nation, a city or a local area. In short, we think it has notable potential for social science and the analysis of trends and relationships in a variety of areas.

We have run various beta tests on data collection with the main mining process starting next week over a 24 hour period. We aim to collect all tweets with a geo-location tag in the above cities, this is a large amount of data allowing various social, spatial and temporal analysis to be carried out.

The system is under development here at CASA as part of a wider survey tool as part of the NeISS project being coded by Steven Gray in association with Urban Tick, urban tick is currently carrying out analysis on the data sampled so far:

The movie below details geo-Tweets in London:




See Urban Narrative - Tracking Movement via Twitter for more information.

We will have more analysis and news of enhanced features and releases in coming posts. Data mining has huge potential to aid our understanding of the city, we are merely at the start of the process but the ability to collect every tweet within a 30km range of every major urban area on earth is certainly intriguing.