Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression
The main part of the study will be to demonstrate that models taking into account spatial heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted Regression) which reproduce housing market determinants better reflect market relationships than conventional regression model...
Main Authors: | Radosław Cellmer, Aneta Cichulska, Mirosław Bełej |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/9/6/380 |
Similar Items
-
An Extended Semi-Supervised Regression Approach with Co-Training and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing
by: Yi Yang, et al.
Published: (2016-01-01) -
The Impact of Airport Proximity on Single-Family House Prices—Evidence from Poland
by: Mirosław Bełej, et al.
Published: (2020-09-01) -
A Geographically Temporal Weighted Regression Approach with Travel Distance for House Price Estimation
by: Jiping Liu, et al.
Published: (2016-08-01) -
Spatial heterogeneity in implicit housing prices: evidence from Hangzhou, China
by: Haizhen Wen, et al.
Published: (2017-02-01) -
A Comparison of Bandwidth and Kernel Function Selection in Geographically Weighted Regression for House Valuation
by: Joseph Awoamim Yacim, et al.
Published: (2019-01-01)