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UCL Centre for Advanced Spatial Analysis

UCL Centre for Advanced Spatial Analysis is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand UCL Centre for Advanced Spatial Analysis rather than just read about it. In short: The Centre for Advanced Spatial Analysis (CASA) is a research centre at University College London (UCL), which specialises in the application and visualisation of spatial analytic techniques and simulation models to cities and regions. It is a constituent department of The Bartlett Faculty of the Built-Environment (The Bartlett School).

Key takeaways

  • UCL Centre for Advanced Spatial Analysis belongs to astronomy; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect UCL Centre for Advanced Spatial Analysis to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of UCL Centre for Advanced Spatial Analysis from memory before moving on to harder problems.

Reference excerpt

The Centre for Advanced Spatial Analysis (CASA) is a research centre at University College London (UCL), which specialises in the application and visualisation of spatial analytic techniques and simulation models to cities and regions. It is a constituent department of The Bartlett Faculty of the Built-Environment (The Bartlett School).

History CASA was established in 1995 by a group of UCL academics who wanted a focus for their research across different academic departments in the field of geographic information systems (GIS). Michael Batty was appointed the first director and initially held a joint appointment as Professor of Spatial Analysis and Planning in the Departments of Geography and The Bartlett School of Planning. He is now Chairman of the centre. In 2000, Paul Longley was appointed deputy director and Professor of Geographic Information Science. He now directs UCL's ESRC Consumer Data Research Centre (CDRC). CASA is still largely funded through research grants but from 2010 it began to diversify, introducing Masters programmes in spatial analysis and in Smart Cities. Professor Andrew Hudson-Smith took over the directorship in 2011 and appointed a deputy director, Dr Adam Dennett in 2016. Adam Dennett is now the director of the Centre and associate professor. Masters courses developed since 2010 include MSc's in Smart Cities and Urban Analytics and Spatial Data Science and Visualisation. It currently has 10 lecturers/associate Professors and two teaching fellows leading its courses. Sir Alan Wilson was appointed Professor of Urban and Regional Systems in 2008 but moved to the Turing Institute in 2016. The centre is now an administrative unit in The Bartlett Faculty of the Built Environment.

Research areas CASA researches the science of cities, working with city governments and related research groups on simulating and visualising urban problems. Their work on transport and movement has included Transport for London’s Oyster card data, public bikes schemes such as the London's cycle hire scheme, population segregation in large cities as well as climate change in the London region. The centre is active in exploring how the Internet of Things can be deployed in large urban areas linking objects in the built environment through internet technologies, and was active with the Technology Strategy Board’s Future Cities Catapult in pioneering new software systems for smart cities such as dashboards and portals. Its research programme in city science concentrates on applying social physics to urban systems based on modelling the diffusion of behaviours such as the 2011 London riots and it is heavily involved in using methods of scaling and allometry to examine city performance.

Research programme CASA's research programme is primarily funded by research grants from the British research councils, mainly ESRC and EPSRC. Since 2008, the centre has been increasingly funded by EU research grants from the 7th Framework and from the European Research Council (ERC) and in 2014, it was awarded funding from the Technology Strategy Board's Future Cities Catapult to provide demonstration capabilities for urban and regional modelling. CASA has graduated some 50 PhDs since 2000. Several alumni have made important contributions to the science of cities working in geographic information systems, spatial analysis and urban modelling at UC Berkeley, Maryland, NYU, George Mason, UCL, KRISH, LSE, TU-Istanbul, KCL, Cardiff, Tehran, Manchester, OU, ETH-Zurich, kingston, Malta, Warwick, Birkbeck, and Liverpool. OpenStreetMap (OSM) originated in UCL CASA and The Bartlett, and the firms GeoFutures and Intelligent Space (acquired by Atkins) were associated with the centre. The company Prospective Labs spun-off from CASA in 2016 and is engaged on developing new software systems for planning and land management.

Contributions Members of CASA have pioneered the development of urban and regional modelling through a series of books that go back to the 1970s. Their work is published in a series of web sites on the CASA Blog Aggregator. Key works that reflect CASA's research programme are Fractal Cities (1994), Cities and Complexity (2005), The Science of Cities and Regions (2012), Agent Based Model of Geographical Systems (2012), and The New Science of Cities (2013). The journals Environment and Planning B, edited by Batty, and Future Internet, edited by Hudson-Smith, are run from CASA. The major research focus of CASA is in blending the visualisation of complex urban systems with their simulation.

References

External links CASA website CASA Blog Aggregator

Worked examples

Example 1 — a first encounter with UCL Centre for Advanced Spatial Analysis

Start with the simplest possible case. Write down what UCL Centre for Advanced Spatial Analysis claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to UCL Centre for Advanced Spatial Analysis before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about UCL Centre for Advanced Spatial Analysis ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of UCL Centre for Advanced Spatial Analysis

In research
UCL Centre for Advanced Spatial Analysis appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses UCL Centre for Advanced Spatial Analysis in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
UCL Centre for Advanced Spatial Analysis is common in secondary-school and first-year university syllabi. It links to neighbouring topics Geographic data and information organisations in the United Kingdom, Research organisations in England, Spatial analysis, so understanding it makes those chapters shorter.
In everyday life
Look for UCL Centre for Advanced Spatial Analysis outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study UCL Centre for Advanced Spatial Analysis in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what UCL Centre for Advanced Spatial Analysis means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain UCL Centre for Advanced Spatial Analysis out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is UCL Centre for Advanced Spatial Analysis in simple terms?

The Centre for Advanced Spatial Analysis (CASA) is a research centre at University College London (UCL), which specialises in the application and visualisation of spatial analytic techniques and simulation models to cities and regions. It is a constituent department of The Bartlett Faculty of the B…

Why does UCL Centre for Advanced Spatial Analysis matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study UCL Centre for Advanced Spatial Analysis?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on UCL Centre for Advanced Spatial Analysis.

Tags

  • Geographic data and information organisations in the United Kingdom
  • Research organisations in England
  • Spatial analysis
  • University College London

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