QuViS -- The Question of Visual Site Selection
Sebastian Baumbach, Jahanzeb Khan, Sheraz Ahmed, and Andreas Dengel

TL;DR
QuViS is an interactive platform that combines visualization and automatic site recommendation to aid decision makers in geospatial site selection, demonstrated through a case study on German supermarkets.
Contribution
It introduces QuViS, a novel integrated system for visual exploration and automatic site recommendation in geospatial data analysis.
Findings
QuViS enables intuitive exploratory analysis of large geospatial datasets.
The case study demonstrates QuViS's effectiveness in supermarket site selection.
QuViS supports decision makers with visual insights and automated suggestions.
Abstract
This paper present QuViS, which is an interactive platform for visualization and exploratory data analysis of site selection. The aim of QuViS is to support decision makers and experts during the process of site selection. In addition to visualization engine for exploratory analysis, QuViS is also integrated with our automatic site selection method (QuIS), which recommend different sites automatically based on the selected location factors by economists and experts. To show the potential and highlight the visualization and exploration capabilities of QuViS, a case study on 1,556 German supermarket site selection is performed. The real publicly available dataset contains 450 location factors for all 11,162 multiplicities in Germany, covering the last 10-15 years. Case study results shows that QuViS provides an easy and intuitive way for exploratory analysis of geospatial multidimensional…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Spatial and Panel Data Analysis · Data Management and Algorithms
