ART-P-MAP neural networks modeling of land-use change: accounting for spatial heterogeneity and uncertainty

Keyphrases

• Neural Network Model 100%
• Land Use Change 100%
• Spatial Heterogeneity 100%
• Spatial Uncertainty 100%
• Probability Map 100%
• Prediction Uncertainty 25%
• Cellular Level 25%
• Modeling Approach 25%
• Regression Model 25%
• Model Performance 25%
• Data Quality 25%
• Geographic Region 25%
• Stratified Sampling 25%
• Network Structure 25%
• Measurement Uncertainty 25%
• Spatial Modeling 25%
• Fine Spatial Resolution 25%
• Posterior Probability 25%
• Stable Performance 25%
• Assessment Framework 25%
• Bagging Ensemble 25%
• Heterogeneous Model 25%
• Global Metrics 25%
• Land Use Model 25%
• Temporal Validation 25%
• Spatial Land Use 25%
• Calibration Strategy 25%
• Land Use Change Scenarios 25%
• Improved Neural Network 25%
• Model Predictability 25%
• Validation Approach 25%
• Spatially Heterogeneous Environment 25%
• Probabilistic Regression 25%
• Land Conversion 25%

Earth and Planetary Sciences

• Land Use Change 100%
• Spatial Heterogeneity 100%
• Land Use 25%
• Spatial Resolution 25%
• Spatial Modeling 25%
• Data Quality 25%
• Geographic Areas 25%

Economics, Econometrics and Finance

• Land Use 100%