astronomy

Luc Anselin

Luc Anselin 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 Luc Anselin rather than just read about it. In short: Luc E. Anselin (born December 1, 1953) is one of the developers of the field of spatial econometrics and the Stein-Freiler Distinguished Service Professor of Sociology and the College at the University of Chicago.

Key takeaways

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

Reference excerpt

Luc E. Anselin (born December 1, 1953) is one of the developers of the field of spatial econometrics and the Stein-Freiler Distinguished Service Professor of Sociology and the College at the University of Chicago.

Life and contributions Luc Anselin was previously the Regents' Professor, Walter Isard Chair and Director of the School of Geographical Sciences and Urban Planning at Arizona State University (ASU) where he attracted some of the leading spatial econometrics scholars. He also founded and directed the GeoDa Center for Geospatial Analysis and Computation at ASU to develop, implement, apply, and disseminate spatial analysis methods. In 2016, the GeoDa Center for Geospatial Analysis relocated to the University of Chicago. He held prior appointments at the University of Illinois, Urbana-Champaign, University of Texas at Dallas, West Virginia University, the University of California, Santa Barbara and the Ohio State University. His joint appointments included a range of disciplines, including Geography, Urban and Regional Planning, Economics, Agricultural and Consumer Economics, Political Economy and Political Science. In recent years, several national and international awards recognized Anselin's achievements, including his development of new spatial methodologies (e.g., local indicators of statistical association) and spatial software tools. The Regional Science Association International elected him as Fellow in 2004, and awarded him their Walter Isard Prize in 2005 and their William Alonso Memorial Prize in 2006. In 2008, Anselin was awarded one of the nation's highest academic honors by being elected to the National Academy of Sciences as well as to the American Academy of Arts and Sciences. In 2012, Anselin was elected as a University Consortium for Geographic Information Science Fellow (UCGIS). 2008 marked the 20th anniversary of the book Spatial Econometrics: Methods and Models that Anselin is best known for and that has been cited over 6,000 times. One of Anselin's achievements has been his contributions to moving the discipline of spatial econometrics from the margins in 1988 to current acceptance in mainstream econometrics, thereby advancing the econometric foundations of Geographic Information Science. His publications include several hundred articles and edited books (including New Directions in Spatial Econometrics in 1995 and Advances in Spatial Econometricsmin 2004) in the fields of Quantitative Geography, Regional Science, GIScience, Econometrics, Economics and Computer Science. His development of spatial software further facilitated the establishment of spatial econometrics. Software tools include SpaceStat (spatial econometrics), GeoDa (exploratory spatial data analysis and spatial regression modeling), and collaborative efforts such as PySAL, an open source library of spatial analytic functions based on the Python programming language. GeoDa had over 56,000 users within six years of its creation. A native of Belgium, Anselin graduated magna cum laude with a B.S. in economics in 1975 and summa cum laude with an M.S. in statistics, econometrics and operations in 1976, both from the Vrije Universiteit Brussel. Around this time, the origins of spatial econometrics began to take shape in economics departments in the Netherlands and geography/regional science departments in the UK. In 1977, he moved from Belgium to the U.S. to enroll in Cornell University's interdisciplinary doctoral program in regional science. This provided the opportunity to work with Walter Isard and William Greene. He earned his doctorate in regional science in 1980.

Selected works

Books L. Anselin, R. Florax and S. Rey (eds.), Advances in Spatial Econometrics. Methodology, Tools and Applications. Berlin: Springer-Verlag, 2004. L. Anselin and S. Rey (eds.), New Tools for Spatial Data Analysis: Proceedings of a Workshop. Center for Spatially Integrated Social Science, University of California, Santa Barbara, 2002 (CDROM). S. Messner, L. Anselin, D. Hawkins, G. Deane, S. Tolnay, R. Baller, An Atlas of the Spatial Patterning of County-Level Homicide, 1960-1990. Pittsburgh: NCOVR, 2000. L. Anselin and R. Florax (eds.), New Directions in Spatial Econometrics. Berlin: Springer-Verlag,1995. L. Anselin and M. Madden (eds.), New Directions in Regional Analysis: Integrated and Multiregional Approaches. London: Belhaven Press, 1990 (paperback edition, 1993). L. Anselin, Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic Publishers, 1988.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Luc Anselin

Start with the simplest possible case. Write down what Luc Anselin 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 Luc Anselin 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 Luc Anselin 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 Luc Anselin

In research: Luc Anselin 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 Luc Anselin 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: Luc Anselin is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1953 births, 21st-century American economists, American econometricians, so understanding it makes those chapters shorter.
In everyday life: Look for Luc Anselin 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 Luc Anselin in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Luc Anselin means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Luc Anselin out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Luc Anselin in simple terms?

Why does Luc Anselin 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 Luc Anselin?

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 Luc Anselin.