Simulating urban growth through case-based reasoning
Case-based reasoning (CBR) simplifies knowledge acquisition and is suitable for researching complex geographical problems. However, CBR analyses of land-use changes are difficult to apply in the study of urban growth due to shortcomings in the case structure and model algorithms. In response, this s...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
|
Series: | European Journal of Remote Sensing |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2022.2056518 |