Kwok Pan Chun

Abstract Statistical downscaling translates coarse-resolution climate model output into locally relevant information for climate services and impact assessment. Recent advances in artificial intelligence (AI) enable high-resolution, probabilistic, and computationally efficient approaches.

PLOS ONE, Sep 2023 The importance of easy wayfinding in complex urban settings has been recognized in spatial planning. Empirical measurement and explicit representation of wayfinding, however, have been limited in deciding spatial configurations. Our study proposed and tested an approach to improving wayfinding by incorporating spatial analysis of urban forms in the Guangdong-Hong Kong-Macau Great Bay Area in China.

Analytical framework and study area Using the aforementioned datasets, the street-network accessibility at the city and local levels as well as land-use spatial patterns can be quantified and characterized, and their empirical relationships also can be revealed (Fig. 1). Our analytical framework hypothesis is that land-use spatial patterns affect street-network accessibility and their associations differ across spaces.