Landscape pattern significantly impacts habitat quality, especially in cities undergoing rapid
urbanization, where landscape patterns are changing dramatically. However, the spatial and …

Conventional housing price prediction methods rarely consider the spatiotemporal non-
stationary problem in a large data volumes. In this study, four machine learning (ML) models …

Understanding house price appreciation benefits place-based decision makings and real
estate market analyses. Although large amounts of interests have been paid in the house …

Determining real estate market dynamics has become an important issue in the city
economy for achieving sustainable urban land management and investment planning. This …

空间数据关系中的异质性或非**稳性特征是**期空间统计或相关应用领域的研究热点之一,
而局部空间统计分析技术的提出与发展是其关键环节. 地理加权回归分析技术(geographically …

Scale is a central concept in the geographical sciences and is an intrinsic property of many
spatial systems. It also serves as an essential thread in the fabric of many other physical and …

ABSTRACT Geographically Weighted Regression (GWR) has been broadly used in various
fields to model spatially non-stationary relationships. Multi-scale Geographically Weighted …

Natural vegetation has been proved to promote water purification in previous studies, while
the relevant laws has not been excavated systematically. This research explored the …

Bike-sharing has become an effective solution to address the" last mile" challenge in public
transit. Existing studies insufficiently consider architectural environmental factors from a …

The rapid development of urbanization has brought a series of challenges to cities, including
a shortage of resources, environmental pollution, social inequality and escalating disaster …