The application of surface generated interpolation models for the prediction of residential property values
The application of surface generated interpolation models for the prediction of residential property values
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DOI：
10.1108/14635780010324321
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发表时间：
2000-04
影响因子：
1.3
通讯作者：
W. Mccluskey;W. Deddis;Ian G. Lamont;R. Borst
中科院分区：
文献类型：
--
作者：
W. Mccluskey;W. Deddis;Ian G. Lamont;R. Borst
本文的目的是试图衡量位置对住宅价格的影响，并努力整合空间和空间数据，开发一个混合预测模型。研究方法探讨了传统的享乐主义的方法来建模位置使用多元回归技术。替代方法被认为是具体的空间分布模型的房价与发展的位置调整因素的目标。这些方法是基于地面响应技术的发展，如反距离加权和通用克里金法。然后在MRA内校准从创建的表面生成的结果。
The aim of this paper is to attempt to measure the effect of location on residential house prices and to endeavour to integrate spatial and aspatial data in terms of developing a hybrid predictive model. The research methodology investigates the traditional hedonic approach to modelling location using multiple regression techniques. Alternative approaches are considered which specifically model the spatial distribution of house prices with the objective of developing location adjustment factors. These approaches are based on the development of surface response techniques such as inverse distance weighting and universal kriging. The results generated from the surfaces created are then calibrated within MRA.