Modern spatial data analysis is often hampered by the lack of reliable quantitative information. Many variables and attributes are only measureable or measured on an ordinal or qualitative scale. Consequently, it is necessary to pay more attention to qualitative information systems and to a methodology that places less heavy demands on the quality of data. The purpose of this paper is to contribute to this new way of data management by paying more attention to a promising type of analysis, known as ordinal geometric scaling. The attractive feature of this approach is the ability to extract quantitative, cardinal information from ordinal data, without violating the ordinal characteristics of these data. This is extensively illustrated in this paper by means of three different empirical applications. First of all it is shown that ordinal geometric scaling is very appropriate to come to zonal or regional accessibility measures. In addition it is outlined that this type of scaling is extremely useful for a financial assessment of rather complex regional plans. The intriguing nature of this approach is also illustrated by means of a qualitative multicriteria evaluation of four different urbanization policies for the western part of the Netherlands. (TRRL)

  • Availability:
  • Corporate Authors:

    Delft University of Technology

    Laboratory of Engineering Mechanics
    Delft,   Netherlands 
  • Authors:
    • Voogd, J H
  • Publication Date: 1979-4

Media Info

  • Features: Figures; References; Tables;
  • Pagination: 19 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00319621
  • Record Type: Publication
  • Source Agency: Institute for Road Safety Research, SWOV
  • ISBN: 0-85296-210-X
  • Report/Paper Numbers: Memo.1979-01 Monograph
  • Files: ITRD, TRIS
  • Created Date: Jan 19 1981 12:00AM