دورية أكاديمية

Road distance and travel time for an improved house price Kriging predictor

التفاصيل البيبلوغرافية
العنوان: Road distance and travel time for an improved house price Kriging predictor
المؤلفون: Henry Crosby, Theo Damoulas, Alex Caton, Paul Davis, João Porto de Albuquerque, Stephen A. Jarvis
المصدر: Geo-spatial Information Science, Vol 21, Iss 3, Pp 185-194 (2018)
بيانات النشر: Taylor & Francis Group, 2018.
سنة النشر: 2018
المجموعة: LCC:Mathematical geography. Cartography
LCC:Geodesy
مصطلحات موضوعية: Kriging, Minkowski, travel time, road distance, real-estate valuation, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343
الوصف: The paper designs an automated valuation model to predict the price of residential property in Coventry, United Kingdom, and achieves this by means of geostatistical Kriging, a popularly employed distance-based learning method. Unlike traditional applications of distance-based learning, this papers implements non-Euclidean distance metrics by approximating road distance, travel time and a linear combination of both, which this paper hypothesizes to be more related to house prices than straight-line (Euclidean) distance. Given that – to undertake Kriging – a valid variogram must be produced, this paper exploits the conforming properties of the Minkowski distance function to approximate a road distance and travel time metric. A least squares approach is put forth for variogram parameter selection and an ordinary Kriging predictor is implemented for interpolation. The predictor is then validated with 10-fold cross-validation and a spatially aware checkerboard hold out method against the almost exclusively employed, Euclidean metric. Given a comparison of results for each distance metric, this paper witnesses a goodness of fit ($${r^2}$$) result of 0.6901 ± 0.18 SD for real estate price prediction compared to the traditional (Euclidean) approach obtaining a suboptimal $${r^2}$$ value of 0.66 ± 0.21 SD.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1009-5020
1993-5153
10095020
Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153
DOI: 10.1080/10095020.2018.1503775
URL الوصول: https://doaj.org/article/ed01ed85e37f47a68495da5e48fa30a4
رقم الأكسشن: edsdoj.01ed85e37f47a68495da5e48fa30a4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10095020
19935153
DOI:10.1080/10095020.2018.1503775