SPATIAL & TEMPORAL DATA ANALYSIS
In online open data portals, it is very difficult for a user to find a relevant data and to manage storage and analytics of different datasets.Furthermore, the unstructured data does not work with relational databases like SQL and searching datasets based on old algorithms is very complex.Therefore, we make a solution to the above problem by developing a system which makes it easier for users to find relevant data efficiently.We build a spatial and temporal based system that represents data of various departments in KPK province of Pakistan such as health, education and agriculture.A spatial data is the data which refers to a geographical area or location.Therefore, by using spatial features in our system, a user can see heterogeneous datasets on a website map and can see the details of each location belongs to that data set by just clicking on their spatial locations.Another important aspect we explored in this research is the comparison of different spatial data structures and found that R-trees performance is better than other data structures for search queries.Similarly we also find the best approach for temporal search which is also an extended version of R*-tree named as GR-tree.
Publication Details
- Journal
- International Research Journal of Modernization in Engineering Technology and Science
- Published
- 2025-10-13
- DOI
- https://doi.org/10.56726/irjmets34198
- Primary Topic
- Human Mobility and Location-Based Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00