Victoria Lush

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Data quality is a difficult notion to define precisely, and different communities have different views and understandings of the subject. This causes confusion, a lack of harmonization of data across communities and omission of vital quality information. For some existing data infrastructures, data quality standards cannot address the problem adequately and(More)
Geospatial data quality and quality visualisation has always been an area of active research within the geographic information community. Subjected to processes of generalisation, abstraction, and aggregation, geospatial data can only provide an approximation of the real world, and therefore almost always suffers from imperfect quality (Goodchild, 1995).(More)
  • Victoria Lush
  • Nursing standard (Royal College of Nursing (Great…
  • 2003
I understand there have been concerns from some nurses about the image used to illustrate the call for entries into the Visions of Science photographic awards (news January 29). The image was supplied and used in good faith. It was obtained from a French picture agency. We will not use this image again and apologise for its use.
We argue that Genetic Improvement can be successfully used for enhancing road traffic data mining. This would support the relevant decision makers with extending the existing network of devices that sense and control city traffic, with the end goal of improving vehicle flow and reducing the frequency of road accidents. Our position results from a set of(More)
Indicators which summarise the characteristics of spatiotemporal data coverages significantly simplify quality evaluation, decision making and justification processes by providing a number of quality cues that are easy to manage and avoiding information overflow. Criteria which are commonly prioritised in evaluating spatial data quality and assessing a(More)
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