Yazgi Walsh, Burçin and Brunsdon, Chris (2018) Interactive Visualization of Urban Data: Interactive Geodemographics. In: 58th ERSA Congress, 28th - 31st August 2018, Cork, Ireland.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Interactive; Visualization; Urban Data; Interactive Geodemographics;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Maynooth University Social Sciences Institute, MUSSI
Item ID:	13317
Depositing User:	Burcin Yazgi Walsh
Date Deposited:	29 Sep 2020 15:32
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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