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Research Directions on GIS Database Design and Management


Affiliations
1 SRC, CSE, Sastra University, Kumbakonam – 612001, Tamil Nadu, India
2 School of Computing, SAP, CSE, Sastra University, Thanjavur - 613401, Tamil Nadu, India
 

Objective: Geospatial Information System (GIS) is predominantly used in urban planning, and improves quality of people living in an area in many ways. Even though so many hardware and software systems are employed in GIS, the database gains the greatest significance. The intension is to progress a spatial database that should be used as a representation or model of the world, particularly to design for a very specific application. Analysis: The GIS data framework is the methodology proposed to promote an application specific spatial database. It comprises of integrating heterogeneous type of data, followed by constructing a semi-structured multi dimensional data model which directs to design a spatial database. Findings: The novelty in this GIS data framework is Building Information Model (BIM) integrated with the traditional data in support of answering indoor spatial queries. Moreover, this framework worked with BigData to support heterogeneous type of data and to automate decision support system. Enhancements: The views focused on the case studies in this paper help to travel in a new direction of GIS specification, utilization and research from the routine methodologies. This paper widens the scope of research directions in order to establish new techniques in each diverse field.

Keywords

Big Data, BIM, GIS, Spatial Database.
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  • Research Directions on GIS Database Design and Management

Abstract Views: 151  |  PDF Views: 0

Authors

Venkateswari Pichaimani
SRC, CSE, Sastra University, Kumbakonam – 612001, Tamil Nadu, India
K. R. Manjula
School of Computing, SAP, CSE, Sastra University, Thanjavur - 613401, Tamil Nadu, India

Abstract


Objective: Geospatial Information System (GIS) is predominantly used in urban planning, and improves quality of people living in an area in many ways. Even though so many hardware and software systems are employed in GIS, the database gains the greatest significance. The intension is to progress a spatial database that should be used as a representation or model of the world, particularly to design for a very specific application. Analysis: The GIS data framework is the methodology proposed to promote an application specific spatial database. It comprises of integrating heterogeneous type of data, followed by constructing a semi-structured multi dimensional data model which directs to design a spatial database. Findings: The novelty in this GIS data framework is Building Information Model (BIM) integrated with the traditional data in support of answering indoor spatial queries. Moreover, this framework worked with BigData to support heterogeneous type of data and to automate decision support system. Enhancements: The views focused on the case studies in this paper help to travel in a new direction of GIS specification, utilization and research from the routine methodologies. This paper widens the scope of research directions in order to establish new techniques in each diverse field.

Keywords


Big Data, BIM, GIS, Spatial Database.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i39%2F125939