Evaluating an Urban Model: A Cartographic Approach

Publisher Website
Google Scholar
Abstract
Normative spatial models are difficult to validate and compare with real-world distributions. A methodology requiring a mathematical transformation of data attempts to regularize model patterns, thereby facilitating map analysis and comparisons of models to real distributions. The method is applied to a negative exponential model of population density using Columbus, Ohio, as an example. The regularity of the resulting transformed isoline pattern provides an easy referent for visually examining the validity of the model in different parts of the city.

This publication has 0 references indexed in Scilit: