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ISSDQ is an important event in the field of spatial data quality, it has been successfully held nine research conferences every two years since 1999. ISSDQ 2017 will take place in Wuhan, Hubei, China,...
ISSDQ is an important event in the field of spatial data quality, it has been successfully held nine research conferences every two years since 1999. ISSDQ 2017 will take place in Wuhan, Hubei, China,...
The national western spatial data quality check method based on entity and evaluation method based on the cloud theory and rough set have been put forward according to the National Western Surveying a...
This paper evaluates the quality of SRTM3 data for alpine and plateau areas in Northwestern (NW) China against DEM data extracted from topographic maps. These SRTM data were obtained from both the ESR...
The impact of spatial data quality on decision-making depends on the role of the geographic information system (GIS) in the company. The requirements for data quality are different depending on whethe...
Producing data of known quality is an essential operation of mapping agencies such as Ordnance Survey. For these data to be of value to our customers, we need to understand what quality measures will ...
Hagerstrand's minimalist representation of individual lives and opportunities as lifelines and prisms predates the technologies available to current GIScience but resonates with many emerging spatio-t...
The process of spatial data quality evaluation is a set of interrelated activities aiming to produce a data quality result, and moreover,to fulfil the quality requirements set forth by the customers. ...
Nowadays developing geo-metadata with the capacity for data quality management and dissemination plays an important role in GIS/Geomatics world. Data quality information embedded in geo-metadata helps...
Description of data quality relies heavily on numbers. When dealing with data sets, which have been collected during longer periods, however, variation in the data quality will become evident. Older d...
Current representations of spatial data quality (SDQ) do not adequately represent the spatial variation of SDQ. For example, a user who wants to know the positional accuracy of a feature usually has t...
Data quality statements are now entrenched in metadata standards worldwide. I contrast the needs of the user with the production-control mechanisms of the producer, and argue that metadata standards a...
Although by many perceived as important, spatial data quality has hardly ever been taken centre stage unless something went wrong due to bad quality. However, we think this is going to change soon. We...
Volunteered geographic information is constantly being added, edited or removed by users. Most of VGI users are not experts, thus formal representation of spatial data quality parameters through metad...
The quality of spatial data has a massive impact on its usability. It is therefore critical to both the producer of the data and its users. In this paper we discuss the close links between data qualit...

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