Enhanced Geographical Information System Architecture for Geospatial Data
Madhavendra Singh (),
Samridh Agarwal (),
Y. Ajay Prasanna (),
N. Jayapandian () and
P. Kanmani ()
Additional contact information
Madhavendra Singh: CHRIST (Deemed to be University), Kengeri Campus, Department of Computer Science and Engineering
Samridh Agarwal: CHRIST (Deemed to be University), Kengeri Campus, Department of Computer Science and Engineering
Y. Ajay Prasanna: CHRIST (Deemed to be University), Kengeri Campus, Department of Computer Science and Engineering
N. Jayapandian: CHRIST (Deemed to be University), Kengeri Campus, Department of Computer Science and Engineering
P. Kanmani: CHRIST (Deemed to be University), Kengeri Campus, Department of Computer Science and Engineering
A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 37-44 from Springer
Abstract:
Abstract Geospatial data is processed using a geographical information system, geospatial data is mainly of two kind’s vector and raster data. Vector data largely includes point data and arcs whereas raster data is the used to represent surfaces. This data is processed and the insights are used for demographical analysis, geological studies, map route optimizations, creating hydrological models among other uses making GIS important for both academia and industry. The suggested system is aimed to further the cause of data standardization as well as web-based GIS tools. The system explores the uses of open source application in order to provide the base for a system that enable the system to provide the GIS functionalities over a portal in form of WPS. The proposed system intends to provide services that enable the user’s access standardized methods of publishing geospatial data and use various services.
Keywords: Geospatial data; Service oriented architecture; Web processing system; GIS system; GML tool (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_4
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DOI: 10.1007/978-3-030-41862-5_4
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