A Survey on Spatio-temporal Data Analytics Systems

Due to the surge of spatio-temporal data volume, popularity location-based services and applications, importance extracted knowledge from solve a wide range real-world problems, plethora research development work has been done in area spatial analytics past decade. The main goal existing works was develop algorithms technologies capture, store, manage, analyze, visualize or data. researchers have contributed either by adding support with systems, developing new system scratch, implementing for processing ecosystem systems can be categorized into three groups, (1) databases (SQL NoSQL), (2) big infrastructures, (3) programming languages GIS software. Since surveys mostly investigated infrastructures data, this survey explored whole analytics. This also portrays future