Abstract
Abstract. Sharing and management of geospatial data among different communities and users is a challenge which is suitably addressed by Spatial Data Infrastructure (SDI). SDI helps people in the discovery, editing, processing and visualization of spatial data. The user can download the data from SDI and process it using the local resources. However, large volume and heterogeneity of data make this processing difficult at the client end. This problem can be resolved by orchestrating the Web Processing Service (WPS) with SDI. WPS is a service interface through which geoprocessing can be done over the internet. In this paper, a WPS enabled SDI framework with OGC compliant services is conceptualized and developed. It is based on the three tier client server architecture. OGC services are provided through GeoServer. WPS extension of GeoServer is used to perform geospatial data processing and analysis. The developed framework is utilized to create a public health SDI prototype using Open Source Software (OSS). The integration of WPS with SDI demonstrates how the various data analysis operations of WPS can be performed over the web on distributed data sources provided by SDI.
Highlights
In today’s geospatial world, the generation of geospatial data is continuously increasing, which creates pressure on the geospatial communities to maintain and manage it (Tripathi et al, 2020, 2018)
Spatial Data Infrastructure (SDI) is developed to process a large amount of spatial data
The concept of multi-tier client-server architecture is used for design and development of Web Processing Service (WPS) enabled SDI framework to provide the capabilities of geospatial data processing and analysis on the web
Summary
In today’s geospatial world, the generation of geospatial data is continuously increasing, which creates pressure on the geospatial communities to maintain and manage it (Tripathi et al, 2020, 2018). Spatial Data Infrastructure (SDI) is designed and developed as a solution to this, and can be defined as the system which encompasses the policies, technologies, standards and human resources necessary for the effective collection, management, access, delivery and utilization of geospatial data in a global community (Coleman and McLaughlin, 1998). SDI offers geospatial services through a standardized interface which can be enabled by Service Oriented Architecture (SOA) concept (Agrawal and Gupta, 2017; Li et al, 2018). SOA provides the standard based distributed computing to enable the reusability and interoperability of different component of the system
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