Communicating Thematic Data Quality with Web Map Services

ISPRS International Journal of Geo-Information

Jon D. Blower³  Joan Masó⁴  Daniel D໚z⁴  Charles J. Roberts³  Guy H. Griffiths³  Jane P. Lewis³  Xiaoyu Yang²  Xavier Pons¹ 

[1]Grumets Research Group, Dep Geografia, Edifici B, Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain

[2] E-Mail:

[3]Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China

[4] E-Mail:

[5]Department of Meteorology, Harry Pitt Building, University of Reading, Reading RG6 6BB, UK

[6] E-Mails:

[7]Grumets Research Group, CREAF, Edifici C, Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain

[8] E-Mails:

关键词: GIS;    data quality;    uncertainty;    WMS;    OGC;    INSPIRE;    GEOSS;    SDI;   

DOI  :  10.3390/ijgi4041965

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.