Dr Ashutosh Kumar Tripathi

Dr Ashutosh Kumar Tripathi
United Group of Institutions · Department of Computer Science & Engineering

Ph.D. (Geoinformatics)
Looking for protential collaboration, and PostDoctoral position

About

8
Publications
964
Reads
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68
Citations
Citations since 2017
8 Research Items
68 Citations
2017201820192020202120222023010203040
2017201820192020202120222023010203040
2017201820192020202120222023010203040
2017201820192020202120222023010203040
Introduction
I currently work as Assistant Professor in Department of Computer Science and Engineering in United University, Prayagraj. My area of research is Geoinformatics.

Publications

Publications (8)
Article
Full-text available
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...
Article
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...
Chapter
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...
Article
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...

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