The SearchMap approach to iterative decision-making

Author

Pride, D.E. ; Tremper, C.M. ; Po-Wen Shih

Author_Institution

Dept. of Geol. Sci., Ohio State Univ., Columbus, OH, USA

Volume

Track6

fYear

1999

fDate

5-8 Jan. 1999

Abstract

The SearchMap algorithm was developed to help mineral explorationists integrate personal experience and intuition into maps. It employs a filter with a radial interest function to sample various data types, and each pixel in the SearchMap is the sum of values calculated from individual layers, weighted by the importance of each layer in the mind of the user. Users adjust search distances and weights iteratively until they are comfortable with the result. In an example, data for geology, topography, lineaments, silver, and arsenic are used to explore for concealed gold deposits in a 12,000 sq km region of northern Nevada.

Keywords

cartography; decision support systems; geology; geophysical prospecting; geophysics computing; gold; minerals; SearchMap algorithm; arsenic data; concealed gold deposit exploration; data type sampling; filter; geology data; intuition; iterative decision-making; layer importance; lineament data; maps; mineral exploration; northern Nevada; personal experience; pixel; radial interest function; search distances; search weights; silver data; topography data; Decision making; Iterative methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on

Conference_Location

Maui, HI, USA

Print_ISBN

0-7695-0001-3

Type

conf

DOI

10.1109/HICSS.1999.772612

Filename

772612