Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices

ABSTRACT

Understanding scale effects is important and indispensable for geography studies. However, spatial and spatiotemporal statistical tools for measuring the operational scales of different processes are rather limited. This article extends the popular geographically and temporally weighted regression (GTWR) model to consider operational scale effects by proposing multiscale GTWR (MGTWR), which offers a flexible and scalable framework for identifying and analysing multiscale processes by specifying flexible bandwidths for various covariates. Then, MGTWR is employed to explore spatiotemporal variations and how influential factors are associated with housing prices in Shenzhen. This article attempts to extend GTWR to MGTWR in consideration of scale effects, thereby highlighting the importance of different levels of spatiotemporal heterogeneity. Furthermore, the empirical results of this study can provide valuable policy implications for real estate development in areas where urban planning should address multiscale effects in both temporal and spatial dimensions.

KEYWORDS:

• Multiscale
• bandwidth
• GTWR
• housing prices
• urban planning

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [41571438]; National Key Research and Development Program of China [2016YFC0803106].

Notes on contributors

Chao Wu

Chao Wu is a lecturer in School of Geographic and Biologic Information at Nanjing University of Posts and Telecommunications. She holds a PhD in Cartography and Geographical Information System from Wuhan University. Her research interests are spatial-temporal modelling and analysis and social geographical computing.

Fu Ren

Fu Ren is a professor in the Department of GIScience and Cartography at Wuhan University. His research interests include online thematic cartography, geographical information services, and spatial information visualization, which is applied in mapping, land, agriculture, ocean, etc.

Wei Hu

Wei Hu is a doctoral student at Wuhan University. His research interests focus in technologies of cartography, spatial and temporal big data analysis, Cellular Automata etc.

Qingyun Du

Qingyun Du is a professor in the School of Resource and Environmental Sciences at Wuhan University. He holds a PhD in Cartography and Geographical Information System from Wuhan University. His research interests focus in digital cartography, web mapping, geographical analysis, health geography and mobile computing etc. He has published more than thirty articles in peer-reviewed international journals and more than two hundreds of other journal papers. He has received contracts/grants from National Natural Science Foundation of China and National Key Research and Development Program of China.