No matter what you are employed in any field, spatial knowledge is usually enclosed with spacial data knowingly or unknowingly. Spatial data is encircled temporal knowledge with objects that change their location and position of access over the time. In present scenario, many applications which deals with spatial, temporal and altitude parameters required to index and get quick results in many applications. To represent spatial and temporal location, maps plays an important and vital role from large voluminous knowledge. Spatial data plays a main role to analyse and visualize current trends. STAQR algorithm provides indexing the data in multi level structure by using Quad and R tree in hybrid structure notation used to get query optimization quickly. Spatial temporal data with altitude contemplate for drone applications and multi stored building for data accessing. This manuscript provides drone tracking system for spatial queries by using STAQR algorithm with four parameters latitude, longitude, altitude, and time.
CITATION STYLE
Madhavi, P., & Supreethi, K. P. (2023). Multi-dimensional STAQR Indexing Algorithm for Drone Applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14078 LNAI, pp. 611–619). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36402-0_57
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