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The article introduces a two-stage model for estimating residential property values using clustering and geostatistics, focusing on local submarkets based on structural attributes. The first stage involves data clustering to isolate markets, while the second stage employs ordinary kriging to account for spatial factors, resulting in property value maps. Experimental research in Siedlce, Poland, demonstrates that the model achieves an estimation error of less than 10%, making it applicable for various proper
- Author
- Devania Riska Putri
- Language
- EN