Indexing Issues in Spatial Big Data Management

5 Pages Posted: 16 May 2019

See all articles by Shahnawaz Khan

Shahnawaz Khan

University College of Bahrain

Thirunavukkarasu Kannapiran

Galgotias University

Date Written: March 14, 2019


Spatial Big Data is one of the crucial infrastructures for contemporary information technological world nowadays. Data scientists have been working hard on designing various techniques for spatial big data management. Working with spatial big data is entirely different than most of the other types of data. There are several types of spatial data such as vector data comprising point, polygon and line, raster data comprising geo-images e.g. google earth and graph e.g. path, edge, roadmap. Storing and querying spatial big data depends on the kind of application, it is being used for. There are several challenges in spatial big data storage management and querying. This study discusses and summarizes the challenges of different indexing strategies.

Keywords: Spatial Big Data, Spatial Data Management, Spatial Data Challenges

Suggested Citation

Khan, Shahnawaz and Kannapiran, Thirunavukkarasu, Indexing Issues in Spatial Big Data Management (March 14, 2019). International Conference on Advances in Engineering Science Management & Technology (ICAESMT) - 2019, Uttaranchal University, Dehradun, India, Available at SSRN: or

Shahnawaz Khan (Contact Author)

University College of Bahrain ( email )


Thirunavukkarasu Kannapiran

Galgotias University ( email )

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