An autocorrelated conditioned Latin hypercube method for temporal or spatial sampling and predictions.
Van Huong LeRodrigo VargasPublished in: Comput. Geosci. (2024)
Keyphrases
- spatio temporal
- sampling algorithm
- computational cost
- cost function
- temporal constraints
- sampling strategy
- similarity measure
- clustering method
- high accuracy
- support vector machine
- experimental evaluation
- probabilistic model
- model selection
- support vector machine svm
- detection method
- spatial data
- monte carlo
- high precision
- dynamic programming
- spatial temporal
- significant improvement
- spatial features
- high resolution