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Business Site Selection, Location Analysis and GIS
John Wiley and Sons Ltd, Oct 2008, Pages: 320


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The fields of GIS, Operations Research and Location Science have matured and there is a convergence and burgeoning overlap between these fields based upon the demand for better and more accurate spatial data, the demand for better models characterizing real-landscape problem domains, and the demand to map and visualize solutions in order to support decision making across a wide ranging set of scales, from the warehouse floor, to harvest areas in a large forest plantation, to the infrastructure of pipes and pumps, reservoirs, and tanks of a water supply system. Whether a water tower or a retail shop is being located, future applications are likely to be intimately integrated into GIS packages, relying on a wealth of spatial data and spatial operations, and utilizing models that characterized the problem domain in a manner that is as close to ground truth as possible. This is not only the future of business location decision making, but location science applications in general. Looking beyond theoretical location constructs and focusing on the resolution of actual siting problems will result in the production of new models, data constructs, algorithms, and theoretical principles. This book will be the first of many that helps lead the way in this multidisciplinary field.

All organizations-businesses, government agencies, and even individuals face location and relocation decisions: where to open a new store, where to build a new factory, where to locate a new transportation hub? Written by two of the leading researchers in the field, here is the first book to cover the convergent use of GIS for Location Science analysis. The book's integrated approach enables analysts to look beyond theoretical location constructs to focus on the resolution of actual siting problems, producing better data and model representations, developing better solution approaches, and providing better visualization of location alternatives than otherwise possible.


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