2007
DOI: 10.1057/palgrave.ivs.9500155
|View full text |Cite
|
Sign up to set email alerts
|

A Design Framework for Exploratory Geovisualization in Epidemiology

Abstract: This paper presents a design framework for geographic visualization based on iterative evaluations of a toolkit designed to support cancer epidemiology. The Exploratory Spatio-Temporal Analysis Toolkit (ESTAT), is intended to support visual exploration through multivariate health data. Its purpose is to provide epidemiologists with the ability to generate new hypotheses or further refine those they may already have. Through an iterative user-centered design process, ESTAT has been evaluated by epidemiologists … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
15
0

Year Published

2008
2008
2021
2021

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 24 publications
(15 citation statements)
references
References 28 publications
(31 reference statements)
0
15
0
Order By: Relevance
“…Suggestions were subsequently coded using an emergent scheme into 35 main areas for improvement after an initial pass through the data [55]. These were in turn grouped into four categories relating to: data, interface, interaction and novelty -'newrelated' (see top of Fig.…”
Section: Later Prototype Designsmentioning
confidence: 99%
“…Suggestions were subsequently coded using an emergent scheme into 35 main areas for improvement after an initial pass through the data [55]. These were in turn grouped into four categories relating to: data, interface, interaction and novelty -'newrelated' (see top of Fig.…”
Section: Later Prototype Designsmentioning
confidence: 99%
“…The complicated and multivariate tools of the ESTAT were not used commonly with the users. The most interesting finding of this stage was that the users did not face a lot of interaction problems, and this indicated improvement in development and refinement of the tool [17]. …”
Section: Resultsmentioning
confidence: 99%
“…This suits demonstration and chauffeuring well because functionality is only revealed when required; a fact positively commented upon by one of the participants in our evaluation. There is evidence that cluttered user interfaces can detract from the data being shown [40] and that aesthetics can have a significant effect on user experience [6]. These considerations have strongly influenced our design.…”
Section: Design and Oac Explorationmentioning
confidence: 99%
“…We expected that some of the variation presented would be well-known to participants. This was deliberate, as confirming 'knowns' is an important step in gaining confidence in using visualization [40]. In the case of Leicestershire County Council, where four analysts took part, this was run as a group seminar where participants were encouraged to ask questions, offer their perspectives and discuss the data and methods.…”
Section: Impact On Usersmentioning
confidence: 99%