Efficient Bundled Spatial Range Queries
Eleni Tzirita Zacharatou, Darius Šidlauskas, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki · 2019
Efficiently querying multiple spatial data sets is a growing challenge for scientists. Astronomers query data sets that contain different types of stars (e.g., dwarfs, giants, stragglers) while neuroscientists query different data sets that model different aspects of the brain in the same space (e.g., neurons, synapses, blood vessels). The results of each query determine the combination of data sets to be queried next. Not knowing a priori the queried data sets makes it hard to choose an efficient indexing strategy.