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Stan Openshaw

Stan Openshaw 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 Stan Openshaw rather than just read about it. In short: Stan Openshaw (10 August 1946 – 19 May 2022.) was a British academic and geographer. His last post was professor of human geography based in the School of Geography at the University of Leeds.

Key takeaways

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

Reference excerpt

Stan Openshaw (10 August 1946 – 19 May 2022.) was a British academic and geographer. His last post was professor of human geography based in the School of Geography at the University of Leeds.

Academic career Openshaw began a research career in the Department of Town and Country Planning at Newcastle University, where, during the 1970s he worked on zone design methodology and the analysis of socio-economic data in geographical and planning contexts. In the 1980s, Stan collaborated on the BBC Domesday Project and developed a way to estimate death or kill rates of various nuclear bombing strategies evolving computerised techniques for identifying geographical clusters. Openshaw worked at Newcastle University for eighteen years, becoming professor of quantitative geography before moving to work at the University of Leeds in 1992 where he set up the Centre for Computational Geography and debated the direction geography should take, putting forward a view that the subject needed an applied and scientific edge that harnessed the growing power of computers to have positive impacts. Stan directed the CCG for seven years until he had a stroke in 1999. His career as an academic was sadly cut short at the age of 55. In 2012 at the GISRUK conference in Lancaster a special session was arranged to celebrate Stan's career.

Education PhD, Geography, Newcastle University, 1974 B.A. (first class) honours degree, Geography, Newcastle University, 1968 Openshaw was a pupil at Argyle House School in Sunderland

Scholarship Openshaw made many contributions as a scholar nurturing and inspiring others. His research interests were broad and his work spanned urban morphology, regional planning, nuclear power, epidemiology, demography, geodemographics and environmental change impacts. Stan strove to remove human bias from the scientific process and was a strong believer in human-competitive machine intelligence. He innovated the use of genetic programming, artificial neural networks and fuzzy inference techniques in geography. In the 1980s, Stan explored the Modifiable Areal Unit Problem (MAUP) as a source of statistical bias that can significantly impact the results of statistical hypothesis tests. His work on this topic led Mike Goodchild to suggest it be referred to as the "Openshaw effect". Openshaw became a fellow of the Institute of Statisticians and a member of the British Computer Society in 1983, and a fellow of the Royal Geographical Society and a Chartered Statistician in 1993. Stan invented new spatial analysis methods for identifying geographical clusters and developing geographical models. He contributed to the field of geodemographics, working on the classification of individuals and groups of people.

He shaped computational geography as a subject, which he termed GeoComputation by editing a book on the subject and instigating an international GeoComputation Conference Series first hosted at the University of Leeds in 1996.

Publications Openshaw authored books, peer-reviewed journal articles, editorials and opinion pieces, book reviews and web sites. Books:

Openshaw, S., Abrahart, R.J., See, L.M., (eds), 2000, Geocomputation. DOI:10.4324/9780203305805 Openshaw, S., Turton, I. (1999) High performance computing and the art of parallel programming: An Introduction for Geographers, Social Scientists and Engineers DOI:10.4324/9780203981436 Stillwell, J.C.H, Geertman S., Openshaw, S. (1999) Geographical information and planning. doi:10.1007/978-3-662-03954-0 Openshaw, S., Openshaw, C. (1997) Artificial intelligence in geography. ISBN 978-0-471-96991-4 Openshaw, S. (1995) Census users' handbook Openshaw, S., Carver, S., Fernie J. (1989) Britain's nuclear waste: siting and safety Openshaw, S. (1986) Nuclear power: siting and safety DOI:10.4324/9780429278419 Openshaw, S., Steadman, P., Greene, O. (1983) Doomsday: Britain after nuclear attack Theses:

Openshaw (1973) Processes in urban morphology with special reference to South Shields. PhD Thesis submitted to Newcastle University and archived at the British Library as microfilm no. : D10191/74. An abstract of the thesis was reproduced on-line and captured by the Wayback Machine. Openshaw (1968) Southern – East Lothian. B.A. Honours Geography Thesis submitted to Newcastle University. It has six chapters describing the physical and socio-economic geography of the region in the south east of Scotland. It contains tables of data, maps, aerial and ground level photographs, diagrams, statistical analysis, description and details of two surveys carried out as part of the work (one about tourism and another about agriculture).

PhD students

References

External links Stan Openshaw's CCG Home Web Page Stan Openshaw's Old School of Geography Web Page Retrieved from the Internet Archive Way Back Machine

Worked examples

Example 1 — a first encounter with Stan Openshaw

Start with the simplest possible case. Write down what Stan Openshaw 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 Stan Openshaw 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 Stan Openshaw 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 Stan Openshaw

In research
Stan Openshaw 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 Stan Openshaw 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
Stan Openshaw is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1946 births, 2022 deaths, Academics of Newcastle University, so understanding it makes those chapters shorter.
In everyday life
Look for Stan Openshaw 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 Stan Openshaw in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Stan Openshaw 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 Stan Openshaw out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Stan Openshaw in simple terms?

Stan Openshaw (10 August 1946 – 19 May 2022.) was a British academic and geographer. His last post was professor of human geography based in the School of Geography at the University of Leeds.

Why does Stan Openshaw 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 Stan Openshaw?

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 Stan Openshaw.

Tags

  • 1946 births
  • 2022 deaths
  • Academics of Newcastle University
  • Academics of the University of Leeds
  • Alumni of Newcastle University
  • British geographers
  • Fellows of the Royal Geographical Society
  • Geographic information scientists
  • Members of the British Computer Society

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