Exploring Approaches to Computer Cartography and Spatial Analysis in Cognitive Mapping Research: CMAP and MiniGASP Prototype Packages
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The role of computer cartography and spatial analysis in cognitive mapping research and the most appropriate approach to their implementation is examined and the development and implementation of two stand-alone specialised packages, CMAP and MiniGASP are outlined.
Abstract
Much cognitive mapping data consists of spatial elements such as points, lines and polygons. This makes it possible to analyze such data with traditional spatial statistics and to visualise them using cartographic techniques. Using this approach can reveal 'hidden' spatial patterns and provide quantitative evidence which can be used in identifying, understanding and explaining cognitive mapping theories. This paper examines the role of computer cartography and spatial analysis in cognitive mapping research and the most appropriate approach to their implementation. The possible contribution of Geographical Information Systems (GISs) is investigated and the development and implementation of two stand-alone specialised packages, CMAP and MiniGASP are outlined.
