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

Computer Science

• High-Performance Computing 100%
• Case Study 100%
• Granularity 100%
• Join Algorithm 100%
• Algorithm Performance 50%
• Performance Improvement 50%
• Dynamic Environment 50%
• Map-Reduce 50%
• Granularity Level 50%
• Spatial Relationship 50%
• Spatial Relation 50%
• Computing Technology 50%

Keyphrases

• High Performance 100%
• Spatial Join 100%
• Spatial Granularity 100%
• In-memory 30%
• High Performance Computing 20%
• Join Algorithm 20%
• Sustainability Research 20%
• Performance Improvement 10%
• High-performance Algorithms 10%
• Spatial Relationship 10%
• Rapid Change 10%
• Large-sized 10%
• Computing Technology 10%
• Massive Data 10%
• Fast Pace 10%
• MapReduce 10%
• Granularity Level 10%
• Spatial Grid 10%
• Environmental Context 10%
• Iterative Computation 10%
• Georeferencing 10%
• Calculation Amount 10%
• Spatial Repartition 10%
• Regional Context 10%
• Relationship Detection 10%
• Human-environment Dynamics 10%
• Spatial Relations 10%
• Urban Context 10%
• World Data 10%
• Model Evaluation 10%
• Disk Accesses 10%