XML Web Service‐based development model for Internet GIS applications

Chang, Yoon-Seop; Park, Hyeong‐Dong

doi:10.1080/13658810600607857

Cited by 45 publications

(15 citation statements)

References 12 publications

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“…By building this application a number of challenges were met, including assuring fast speed of access to the vast amounts of data available through these distributed biodiversity databases; developing open standards based access to suitable environmental data layers for analyzing biodiversity distribution; building suitably flexible and intuitive map interfaces for refining the scope and criteria of an analysis; and building appropriate web-services based analysis tools that are of primary importance to the ecological community. Building on these successes such as these, some of the problems of internet GIS are now being addressed (e.g., interoperability) and we are now seeing examples of "Distributed GIS (DGIS)" which has the benefit of linking and accessing many systems as a single virtual system, using the standards and software of the Internet (Tait 2005;Chang and Park, 2006). Zhang and Tsou (2009) refer to a geospatial cyberinfrastructure which integrates distributed geographic information processing (DGIP) technology, high-performance computing resources, interoperable Web services, and sharable geographic knowledge to facilitate the advancement of geographic information science (GIScience) research, geospatial technology, and geographic education.…”

Section: Gis: the Internet Revolutionmentioning

confidence: 99%

An overview of recent remote sensing and GIS based research in ecological informatics

Boyd

Foody

2011

Ecological Informatics

118

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This article provides an overview of some of the recent research in ecological informatics involving remote sensing and GIS. Attention focuses on a selected range of issues including topics such as the nature of remote sensing data sets, issues of accuracy and uncertainty, data visualization and sharing activities as well as developments in aspects of ecological modeling research. It is shown that considerable advances have been made over recent years and foundations for future research established. BackgroundGeotechnology has been couched as one of the three "mega-technologies" of the 21 st century, along with nanotechnology and biotechnology (Gewin, 2004). On the cusp of the second decade of the 21 st century it is evident that recent developments in the geotechnologies of Geographic Information Science (GIS) and remote sensing have had a substantial impact on ecological research, providing spatial data and associated information to enable the further understanding of ecological systems (Rundell et al., 2009). In a digital society there is sometimes an expectation that information is just a click away and this may apply to spatial information in the domain of ecological informatics. Indeed, it has been in the last five years that developments in and relating to the fields of GIS and remote sensing, such as those seen in internet technologies (e.g., Web 2.0; high performance communication networks; Brunt et al., 2007), sensing technology (e.g., quantum well infrared photodetectors; Krabach, 2000), data standards and interoperability (e.g., OGC® KML 2.2) and spatially explicit modeling (e.g., Osborne et al., 2007), have resulted in the revelation of previously unobservable phenomena and posing of what might be termed second generation of ecological questions. During this time we have also seen more support for the open exchange of data and software and infrastructure for location based services. This paper serves as a review of some of the recent developments in GIS and remote sensing that have been or promises to be of benefit to ecological informatics. The subjects addressed are necessarily selective and limited in scope, drawing on topics of interest to us and, we hope, to you.

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Section: Gis: the Internet Revolutionmentioning

confidence: 99%

An overview of recent remote sensing and GIS based research in ecological informatics

Boyd

Foody

2011

Ecological Informatics

118

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“…OGC (Open Geospatial Consortium)'s Web Services Architecture [5] is as shown in Figure 1. It was designed so as to distribute many interoperate GIS component on the Internet, and to integrate again those distributed components required for Internet GIS applications [6] . Google Earths, Microsoft Bing map, Terraserver-USA [7] are relatively popular and practical tools of Web GIS.…”

Section: B Web Gismentioning

confidence: 99%

Distributed interoperable GIS Data Services based on Web Services

Zhang

Liu

2010

2010 2nd IEEE International Conference on Information Management and Engineering

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For Web GIS unable to achieve interoperability among heterogeneous, spatial data and cross-platform operation It implements reading and writing GIS data of cross-platform distribution and interoperability through applying Web Services Technology which improves reading and writing speed of GIS data and the speed of data transmission in networks It puts emphasis on studying GIS Data Services discusses the idea and process of the building of system and applies the system to the oil refinery enterprises emergency command system. The method improves the speed of the system's receiving and responding GIS data from user's request

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“…Although many current web-based platforms (such as Google Earth or Microsoft Virtual Earth) and GIS software packages can already facilitate the distribution of geospatial data over the internet (Chang and Park 2006, Patterson 2007, Moritz et al 2008, newly developed technology such as the geospatial web service will further revolutionize how geospatial data are accessed and used in the future (Lake and Farley 2007). This technological progress has brought a dramatic change in the roles and responsibilities of the participating parties.…”

Section: Introductionmentioning

confidence: 98%

Incorporating visualized data completeness information in an open and interoperable GIS map interface

Hong¹,

Liao²

2011

Journal of the Chinese Institute of Engineers

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Successful data sharing is a critical challenge in the development of National Spatial Data Infrastructure, but the heterogeneity of geospatial data often impedes the correct use of distributed geospatial data. For example, although map interfaces have been widely used in GIS software, misunderstandings of the geospatial data illustrated in map interfaces may still produce unpredictable and unnoticeable risks. It is necessary for users to have a thorough understanding about the acquired data before they can make correct decisions. Based on the concept of valid extent and illustrated extent, this article has proposed a new model that incorporates visual aids of data completeness information in the GIS-based map interface by integrating metadata, Geography Markup Language, and cartographic knowledge. Compared to current GIS map interfaces, the introduced open format of distributed data and knowledge-based visual aids enables users to correctly interpret the illustrated results of the map interface in an interoperable and visualized way, such that users are always aware of the status of data completeness regarding the illustrated content of the map interfaces. Despite the fact that the discussions of this article are restricted to the issue of data completeness, the results have clearly indicated that such a visualized mechanism for data quality information should be included as a necessary component in the future OpenGIS distributed environment.

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XML Web Service‐based development model for Internet GIS applications

Cited by 45 publications

References 12 publications

An overview of recent remote sensing and GIS based research in ecological informatics

An overview of recent remote sensing and GIS based research in ecological informatics

Distributed interoperable GIS Data Services based on Web Services

Incorporating visualized data completeness information in an open and interoperable GIS map interface

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