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Mathematical and Geospatial Tools

In: Multicriteria Location Analysis

Author

Listed:
  • H. A. Eiselt

    (University of New Brunswick Faculty of Business Administration)

  • Vladimir Marianov

    (Pontificia Universidad Católica de Chile)

  • Joyendu Bhadury

    (Radford University)

Abstract

This chapter briefly presents some of the mathematical and geospatial tools (for geospatial analysis, see, e.g., DeSmith et al., Geospatial Analysis. A Comprehensive Guide to Principles, Techniques and Software Tools, 6th edn, 2018) that are important in the context of multicriteria location decisions (see Malczewski, GIS and Multicriteria Decision Analysis, Wiley, New York, 1999). The first chapter discusses interpolation and curve fitting techniques. These methods are important in case measurements of some attribute have been taken at sites (so-called observation points), whereas the values of these attributes are needed at other points. For instance, seismic tests have been taken at some discrete points that provide a profile of different subsoil strata. Information regarding the thickness of, say, coal seams are needed in areas in which the Federal Government offers land leases for the exploitation of coal. Given that the observation points are reasonably close and there are no major geological faults in between, interpolation of known data can provide important clues regarding the feasibility of exploiting the natural resource.

Suggested Citation

  • H. A. Eiselt & Vladimir Marianov & Joyendu Bhadury, 2023. "Mathematical and Geospatial Tools," International Series in Operations Research & Management Science, in: Multicriteria Location Analysis, chapter 0, pages 107-142, Springer.
    • Handle: RePEc:spr:isochp:978-3-031-23876-5_5
    DOI: 10.1007/978-3-031-23876-5_5
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