Jeneen Naji (p), Gareth W. Young , Sam Stehle

Burcin Yazgi Walsh

See extended abstract.

Stephanie Keogh, Liam O’Sullivan (p), Gareth Young, Gavin McArdle, Rob Kitchin

Jeneen Naji

City dashboards are becoming a popular means of displaying a variety of relevant data about a city or region. However, little research informs their designs and implementations. This paper outlines the Building City Dashboards project, which addresses issues of effectiveness regarding dashboard design and information display. The ongoing technical development of two dashboards is described, informed by significant user research. Workflows for data management and software development are
presented including an example of real-world data visualizations for the Dublin Dashboard.

Burcin Yazgi Walsh (p), Chris Brunsdon

Liam O'Sullivan

Visualization of data is used to provide insight from information with the purpose of providing a better understanding of the process generating the data. It also aims to give the opportunity to users to see structure and pattern in a particular dataset in a relatively quick and intuitive way. Interaction as a tool carries these visual representations to a dynamic level. This way of presentation provides the advantages of simplicity and effectivity. Geodemographics on the other hand is another tool to represent the dynamics of spatial units based on some dataset, typically socio-economic. It is a tool that helps to classify the characteristics of areas based on their similarities. This paper aims to carry the two existing concepts of visualization of urban data and geodemographics to a new platform with a focus of interactive geodemographics. The purpose of this paper is not only limited to classifying the smallest scale of administrative units in Ireland based on the 2016 Census population data, but also to demonstrate these outputs with a newer approach like interactive visualizations. The data used in this study is obtained from Ireland’s 2016 Census Population Data at small area level. The paper is also argues for the use of open data, open source software and reproducible research. Since some of the main disciplines like computer science, data science, geocomputation, information technology, geographical information sciences, geography, urban and regional planning, statistics are involved in the concepts of interest here, it is believed that the discussion will be useful and supportive for the formation of novel alternative platforms to represent urban data.