Abstract
A distinction is made in our discussion between descriptive versus prescriptive analysis techniques. A descriptive model is one that replicates the location and land use decisions made in a study area, while a prescriptive model starts out with a premise of existing practice and concentrates on the steps to arrive at a recommended course of action. Put in another way, a descriptive model sum marizes the set of observed data and tries to explain these observations in a systematic manner. A prescriptive model, on the other hand, takes the view that the model has been constructed, and the model is used to choose a desirable course of action. In Chapters 3 and 4, we will review these analysis tools, paving the way for further analyses. The discussions here are geared toward problem solving; the development is therefore more intuitive than algorithmic or axiomatic in nature. We supplement these discussions with more methodological background materials attached as appendices of this book, where the readers will find self-contained reviews on optimization, stochastic process, statistics, and systems theory.
“Most of the fundamental ideas of science are essentially simple and may, as a rule, be expressed in a language comprehensive to anyone.”
Albert Einstein
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Chan, Y. (2011). Descriptive Tools for Analysis. In: Location Theory and Decision Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15663-2_3
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