更正 "通过地理信息系统和机器学习集成实现住宅物业大规模估值的混合方法"

IF 3.3 3区地球科学 Q1 GEOGRAPHY

Geographical Analysis Pub Date : 2024-06-27 DOI:10.1111/gean.12409

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引用次数: 0

摘要

Mete, M. O., & Yomralioglu, T. (2023) A hybrid approach for mass valuation of residential properties through geographic information systems and machine learning integration.Geographical Analysis, 55(4), 535-559.The funding statement for this article was missing.文章中已添加以下资金声明："研究项目的资金来自伊斯坦布尔技术大学科研项目协调组，资助金额为 MDK-2021-43080。"我们对此错误表示歉意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Correction to “A hybrid approach for mass valuation of residential properties through geographic information systems and machine learning integration”

The funding statement for this article was missing. The below funding statement has been added to the article:

“Funding for the research project was received from Scientific Research Projects Coordination Unit of Istanbul Technical University under grant MDK-2021-43080.”

We apologize for this error.

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来源期刊

Geographical Analysis GEOGRAPHY-

CiteScore

8.70

自引率

5.60%

发文量

期刊介绍： First in its specialty area and one of the most frequently cited publications in geography, Geographical Analysis has, since 1969, presented significant advances in geographical theory, model building, and quantitative methods to geographers and scholars in a wide spectrum of related fields. Traditionally, mathematical and nonmathematical articulations of geographical theory, and statements and discussions of the analytic paradigm are published in the journal. Spatial data analyses and spatial econometrics and statistics are strongly represented.