Spatio-temporal access methods: a survey (2010-2017)

The volume of spatio-temporal data is growing at a rapid pace due to advances in location-aware devices, e.g., smartphones, and the popularity of location-based services, e.g., navigation services. A number of spatio-temporal access methods have been proposed to support efficient processing of queries over the spatio-temporal data. Spatio-temporal access methods can be classified according to the type of data being indexed into the following categories: (1) indexes for historical spatio-temporal data, (2) indexes for current and recent spatio-temporal data, (3) indexes for future spatio-temporal data, (4) indexes for past, present, and future spatio-temporal data, (5) indexes for spatio-temporal data with associated textual data, and (6) parallel and distributed spatio-temporal systems and indexes. This survey is Part 3 of our previous surveys on the same subject (Mokbel et al. IEEE Data Eng Bull 26(2):40-49, 2003; Nguyen-Dinh et al. IEEE Data Eng Bull 33(2):46-55, 2010). In this survey, we present an overview and a broad classification of the spatio-temporal access methods published between 2010 and 2017.