A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets

Earth and Planetary Sciences

• Model 66%
• Approach 50%
• Data Set 50%
• Datum 33%
• Satellite Data 16%
• Remote Sensing 16%
• Spatial Data 16%
• Parallel Computer 16%
• Epidemiology 16%
• Domain 16%
• Response 16%
• Set 16%
• Mask 16%
• Fitting 16%
• Climate 16%
• Algorithms 16%
• Sample 16%
• Incidence 16%
• Social Science 16%

Computer Science

• Modeling 100%
• Simulation Mode 66%
• Real World 16%
• High-Performance Computing 16%
• Basis Function 16%
• Spatial Domain 16%
• Massive Datasets 16%
• Acquired Datasets 16%
• Domains 16%
• Spatial Behavior 16%
• Software Environment 16%