Article citationsMore >>

Nikander, J. 2012. Interaction and visualization methods in teaching spatial algorithms and analyzing spatial data. Ph.D. Aalto University.

has been cited by the following article:

Article

Spatio-Qualitative Data Visualization: SoftGIS and Weighted Average Visualization

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


Journal of Geosciences and Geomatics. 2014, Vol. 2 No. 1, 38-41
DOI: 10.12691/jgg-2-1-6
Copyright © 2014 Science and Education Publishing

Cite this paper:
Kamyar Hasanzadeh. Spatio-Qualitative Data Visualization: SoftGIS and Weighted Average Visualization. Journal of Geosciences and Geomatics. 2014; 2(1):38-41. doi: 10.12691/jgg-2-1-6.

Correspondence to: Kamyar  Hasanzadeh, Department of Planning and Geoinformatics, Aalto University, Espoo, Finland. Email: kamyar.hasanzadeh@aalto.fi

Abstract

In recent years there has been considerable breakthrough in acquisition of georeferenced qualitative data. These types of data have characteristics that distinguish them from quantitative datasets and therefore it is typically more challenging to discover knowledge from such spatio-qualitative data. SoftGIS is one of the most prominent attempts in in collecting such spatio-qualitative data that is capable of providing informative data with applications in different disciplines. This paper uses this dataset in a case of urban experience in Helsinki in order to propound a visual technique that can help with knowledge discovery process. The visualization method proposed in this study, namely weighted average visualization (WAV), is tailored to meet specific characteristics of the aforesaid dataset and is capable of discovering patterns that are not visible through current approaches.

Keywords