Dr Ashutosh Kumar TripathiUnited Group of Institutions · Department of Computer Science & Engineering
Dr Ashutosh Kumar Tripathi
Looking for protential collaboration, and PostDoctoral position
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Citations since 2017
8 Research Items
Spatial Data Infrastructure (SDI) is considered as a holistic framework for effective collection, integration, discovery, sharing and delivery on a common platform for better utilization of multi-source geospatial data by global community, thereby, resulting in increased awareness of the use of geospatial data and the cooperation between decision-m...
Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, and users that primarily function for the production and sharing of large geospatial data. Metadata refers to “data about data” and the metadata related to spatial data contains information like projection, scale, resolution, reliability, data provider, and distribution...
An innovative approach to design, develop and implement an interoperable Spatial Data Infrastructure (SDI) for health sector (acronym OpenSDI4Health) based on National Spatial Data Infrastructure (NSDI) of India and using Open Source Geospatial Resources (OSGR) is developed. The framework is designed with six core components, namely spatial data, m...
Identification of hospital sites and their ranking is important for the planning and development of any country's health infrastructure. The site selection problem is a typical multi-criteria decision making problem involving multiple stakeholders and their interests. Multi-Criteria Decision Analysis (MCDA) is a promising approach to solve a locati...
With the advancement of GIS technology since its inception in 1960’s, many educational institutions, government departments, public/ private sectors and individuals have started its use for the production and management of spatial data. Spatial Data Infrastructure (SDI) concept was introduced in the early1990’s and provides a set of technologies, s...
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 vo...
The emergence of new tools and technologies to gather the information generate the problem of processing spatial big data. The solution of this problem requires new research, techniques, innovation and development. Spatial big data is categorized by the five V’s: volume, velocity, veracity, variety and value. Hadoop is a most widely used framework...