@conference {639,
	title = {VafusQ: A Visual Analytics Application with Data Quality Features to Support the Urban Planning Process},
	booktitle = {Workshop on Visualisation in Environmental Sciences (EnvirVis)},
	year = {2015},
	month = {06/2015},
	publisher = {The Eurographics Association},
	organization = {The Eurographics Association},
	address = {Cagliari, Sardinia, Italy},
	abstract = {Fast changing urban systems pose huge challenges for planners and governments. One major challenge is to provide optimized facilities systems fulfilling all the basic citizen needs such as food, education, security, and health. To provide these, the deficit of the complete system needs to be analyzed and quantified. An additional, important problem is the quality of the underlying data influencing the analysis. Often, the data is, e.g., incomplete, not accurate, or not reliable. The goal of this paper is to support the analysis of the deficit for the facilities system of Bogot{\'a} by taking into account data quality issues. Our contributions are: the inclusion of data quality in the urban planning process, the design of a novel visualization technique to represent data quality, the implementation of an application to support the analysis of the facilities system, and a case study with experts assessing the usability and usefulness of the application. As a conclusion, the experts find the application useful for the analysis tasks and the inclusion of data quality features important and comprehensible.},
	doi = {10.2312/envirvis.20151091},
	author = {John A. Triana and Dirk Zeckzer and Jose T. Hernandez and Hans Hagen}
}
