Spatial Data Mining, Geovisualization

Kim, Changdae

doi:10.1016/b978-008044910-4.00526-5

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…The human eye and brain can extract and interpret information on a map more rapidly than the most elegant software [ 30 ]. The power of visualisation relies on its ability: (1) to augment human visual ability in perceiving, detecting, and exploiting highly complex structures and patterns [ 31 ]; (2) to arouse the imagination for exploration; and (3) to provide instruments and toolsets for the exploration of knowledge and insights [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

Visualising Combined Time Use Patterns of Children’s Activities and Their Association with Weight Status and Neighbourhood Context

Zhao

Mackay

Chang

et al. 2019

IJERPH

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Compositional data techniques are an emerging method in physical activity research. These techniques account for the complexities of, and interrelationships between, behaviours that occur throughout a day (e.g., physical activity, sitting, and sleep). The field of health geography research is also developing rapidly. Novel spatial techniques and data visualisation approaches are increasingly being recognised for their utility in understanding health from a socio-ecological perspective. Linking compositional data approaches with geospatial datasets can yield insights into the role of environments in promoting or hindering the health implications of the daily time-use composition of behaviours. The 7-day behaviour data used in this study were derived from accelerometer data for 882 Auckland school children and linked to weight status and neighbourhood deprivation. We developed novel geospatial visualisation techniques to explore activity composition over a day and generated new insights into links between environments and child health behaviours and outcomes. Visualisation strategies that integrate compositional activities, time of day, weight status, and neighbourhood deprivation information were devised. They include a ringmap overview, small-multiple ringmaps, and individual and aggregated time–activity diagrams. Simultaneous visualisation of geospatial and compositional behaviour data can be useful for triangulating data from diverse disciplines, making sense of complex issues, and for effective knowledge translation.

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Section: Introductionmentioning

confidence: 99%

Visualising Combined Time Use Patterns of Children’s Activities and Their Association with Weight Status and Neighbourhood Context

Zhao

Mackay

Chang

et al. 2019

IJERPH

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“…The important role of geovisualization tools as a medium to enhance the interface communication was proved by several researchers (Kraak, 2009, Keim et al, 2010, Kim, 2009. With the improvement of the devices for data collection and its storage, it has become faster to collect and store data than to use it for decision-making (Keim et al, 2010).…”

Section: Visualization Techniquesmentioning

confidence: 99%

Visual Tools for Crowdsourcing Data Validation Within the Globeland30 Geoportal

Chuprikova¹,

Wu²,

Murphy³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Theme Session, ThS18KEY WORDS: Crowdsourcing, global land cover, visual tools, Globeland30, volunteered geographic information, sense making visualization ABSTRACT:This research aims to investigate the role of visualization of the user generated data that can empower the geoportal of GlobeLand30 produced by NGCC (National Geomatics Center of China). The focus is set on the development of a concept of tools that can extend the Geo-tagging functionality and make use of it for different target groups. The anticipated tools should improve the continuous data validation, updating and efficient use of the remotely-sensed data distributed within GlobeLand30.

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