A Comparison of Markov Random Field and Spatial Regression Models for Mining Geospatial Data

Keyphrases

• Spatial Data 100%
• Markov Random Field 100%
• Spatial Regression Model 100%
• Classification Accuracy 50%
• Order of Magnitude 50%
• Regularization Parameter 50%
• Classification Problem 50%
• Computation Time 50%
• Public Domain 50%
• Average Distance 50%
• Classical Regression 50%
• Spatial Accuracy 50%
• Spatial Metrics 50%
• Spatial Regression 50%
• Measure Classification 50%
• Spatial Classification 50%
• Spatial Autoregressive Regression 50%

Computer Science

• Geospatial Data 100%
• Classification Accuracy 100%
• Classification Problem 100%
• Computation Time 100%
• Regularization Parameter 100%