Communicating thematic data quality with web map services

Geospatial information of many kinds, from topographic maps to scientific data, is increasingly being made available through web mapping services. These allow georeferenced map images to be served from data stores and displayed in websites and geographic information systems, where they can be integr...

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Detalhes bibliográficos
Autores: Blower, Jon D., Masó, Joan|||0000-0002-2983-4629, Díaz Benito, Daniel, Roberts, Charles J., Griffiths, Guy H., Lewis, Jane P., Yang, Xiaoyu, Pons, Xavier|||0000-0002-6924-1641
Tipo de documento: artigo
Data de publicação:2015
País:España
Recursos:Universitat Autònoma de Barcelona
Repositório:Dipòsit Digital de Documents de la UAB
Idioma:inglês
OAI Identifier:oai:ddd.uab.cat:142440
Acesso em linha:https://ddd.uab.cat/record/142440
https://dx.doi.org/urn:doi:10.3390/ijgi4041965
Access Level:Acceso aberto
Palavra-chave:GIS
Data quality
Uncertainty
WMS
OGC
INSPIRE
GEOSS
SDI
Descrição
Resumo:Geospatial information of many kinds, from topographic maps to scientific data, is increasingly being made available through web mapping services. These allow georeferenced map images to be served from data stores and displayed in websites and geographic information systems, where they can be integrated with other geographic information. The Open Geospatial Consortium's Web Map Service (WMS) standard has been widely adopted in diverse communities for sharing data in this way. However, current services typically provide little or no information about the quality or accuracy of the data they serve. In this paper we will describe the design and implementation of a new "quality-enabled" profile of WMS, which we call "WMS-Q". This describes how information about data quality can be transmitted to the user through WMS. Such information can exist at many levels, from entire datasets to individual measurements, and includes the many different ways in which data uncertainty can be expressed. We also describe proposed extensions to the Symbology Encoding specification, which include provision for visualizing uncertainty in raster data in a number of different ways, including contours, shading and bivariate colour maps. We shall also describe new open-source implementations of the new specifications, which include both clients and servers.