An attribute-driven statistics generator for use in a G.I.S. environmentWhen performing research using digital geographic information it is often useful to produce quantitative characterizations of the data, usually within some constraints. In the research environment the different combinations of required data and constraints can often become quite complex. This paper describes a technique that gives the researcher a powerful and flexible way to set up many possible combinations of data and constraints without having to perform numerous intermediate steps or create temporary data bands. This method provides an efficient way to produce descriptive statistics in such situations.
Document ID
19860035950
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Thomas, R. W. (California Univ. Berkeley, CA, United States)
Ritter, P. R. (California Univ. Berkeley, CA, United States)
Kaugars, A. (California, University Berkeley, United States)