Integration of linear and non-linear regression for estimating land value
| Autor: | N T Sugito, H Z Abidin, I Soemarto, S Hendriatiningsih |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Earth and Environmental Science. 1089:012032 |
| ISSN: | 1755-1315 1755-1307 |
| DOI: | 10.1088/1755-1315/1089/1/012032 |
| Popis: | Land valuation is one aspect of the cadastral system that is integrated with land use and land tenure. Land can be valued on the basis of the benefits that can be given. High and low land values are influenced by many factors, including economic, social, government, and physical factors. Based on factors that can determine the value of the land, it is known that the use of land (zoning) can also affect the formation of land values. The statistical analysis of a good land value model must take into account the effect of the location (X, Y) of the land parcels with the variable determining the land value comprehensively plus the city service center variable. The estimation model of land values resulting from the integration of linear regression and non-linear regression can be used as a reference to a single value for various purposes. The resulting land value estimation model is expected to reflect the true value. |
| Databáze: | OpenAIRE |
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