A Linear Bayesian Updating Model for Probabilistic Spatial Classification
Categorical variables are common in spatial data analysis. Traditional analytical methods for deriving probabilities of class occurrence, such as kriging-family algorithms, have been hindered by the discrete characteristics of categorical fields. To solve the challenge, this study introduces the the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-11-01
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| Series: | Challenges |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2078-1547/7/2/21 |