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  • 标题:A WFS Based Geographical Features Service Approach for Internet GIS
  • 本地全文:下载
  • 作者:Penglin Zhang ; Feng Zhang ; Bolin Ruan
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII Part B2
  • 页码:715-720
  • 出版社:Copernicus Publications
  • 摘要:While Web Service based Web GIS architecture has undergone the significant development in recently decade years, most of them, for instance, Google Maps, Yahoo Maps and other online maps or web-based GIS are based on the Web Map Service (WMS) standard interface and return only raster data which can not be edited or spatially analyzed. Therefore, the OGC membership defined and maintains the Web Feature Service (WFS) specification, the OpenGIS WFS interface allows requests for geographical features across the web using platform-independent calls. In WFS specification, XML-based geographical markup language (GML) is the default payload encoding for geographical features transportation. However, although the OGC claim that non-GML format, such as shapefiles can also be used for transportation, an un-ignorable fact is that the data organized in non-GML format must be pre- reorganized in XML Schema before using it. This must increase the difficult for non-GML format data distribution and share via WFS-based system. In this paper, we propose a WFS-based approach that not only the GML encoding can be transported, but other formats such as shapefiles also can be transported online without any pre-encoding. In the proposed approach, we propose to use an online component which set on the server side to parse the non-GML geographical features and transform it into GML schema and provide standard interface based on the WFS specifications. To test the validity of the proposed approach, we developed simple web-based online map, and applied it to the actually shapefiles. The experiment results show the proposed approach is valid
  • 关键词:Web GIS; Online Map; Web Service; Web Feature Service; GML
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