A Spatio-qualitative Knowledge Discovery Paradigm

Kamyar Hasanzadeh^1,

¹Department of Planning and Geoinformatics, Aalto University, Espoo, Finland

Cite this paper

Kamyar Hasanzadeh. A Spatio-qualitative Knowledge Discovery Paradigm. Journal of Geosciences and Geomatics. 2015; 3(1):1-6. doi: 10.12691/JGG-3-1-1

Abstract

Studying qualitative data in their geographical context has the potential to reveal useful information in different studies, such as human geography, geology, urban studies and land use planning. Accordingly, there has recently been an increasing interest in applications of spatial technologies, and more specifically GIS, in studying qualitative data. Similar to other types of geocoded data, various spatial, visual, analytical, and exploratory techniques can be applied to the spatio-qualitative datasets in order to discover knowledge. Typical spatial analysis provides techniques for discovering patterns from large geographical datasets. However, due to qualitative characteristics of this type of data, these techniques should be used more strategically in order to achieve concrete knowledge. Accordingly, this research propounds a four stage spatial knowledge discovery strategy that is adapted to meet the most common characteristics of the spatio-qualitative data specifications. Furthermore, the proposed paradigm is applied to a case study of urban impression in Helsinki region in Finland, and the results are briefly presented.

Keywords

spatio-qualitative, SoftGIS, spatialdata analysis, knowledge discovery, GIS

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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