Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: A New Design of High-Performance Large-Scale GIS Computing at a Finer Spatial Granularity: A Case Study of Spatial Join with Spark for Sustainability
SpatialHadoop: A MapReduce framework for spatial data
A CyberGIS-Jupyter Framework for Geospatial Analytics at Scale
distributed frameworks and parallel algorithms for processing large - scale geographic data .
Query Processing in Spatial Network Databases
ST-Hadoop: A MapReduce Framework for Big Spatio-temporal Data
Is Apache Spark scalable to seismic data analytics and computations?
Principles of spatial database analysis and design
A Scientific Workflow Approach to Distributed Geospatial Data Processing using Web Services
HadoopViz: A MapReduce framework for extensible visualization of big spatial data
Efficient Parallel and Distributed Algorithms for GIS Polygonal Overlay Processing
Leveraging Cloud Computing in Geodatabase Management
ASAGI: A Parallel Server for Adaptive Geoinformation
Llama: leveraging columnar storage for scalable join processing in the MapReduce framework
performance - improving techniques in web - based gis .
HGrid: A Data Model for Large Geospatial Data Sets in HBase
LOCALLY REFINED SPLINES REPRESENTATION FOR GEOSPATIAL BIG DATA
GeoDa web: enhancing web-based mapping with spatial analytics
POIsam: a System for Efficient Selection of Large-scale Geospatial Data on Maps
Survey on high performance analytics of bigdata with apache spark
GeoDa: an introduction to spatial data analysis
Carbon dioxide toxicity and climate change: a major unapprehended risk for human health
Spark: Cluster computing with working sets
Antenna selection in massive MIMO systems: Full-array selection or subarray selection?
Using singular value decomposition approximation for collaborative filtering
Electronic word-of-mouth in hospitality and tourism management