Search

This article presents a proof‐of‐concept designer‐in‐the‐loop schematic map drawing tool, based on the marriage of two approaches—manual and automated, which provides the technical interactivity of drawing tools between the user and the computer. We focus on concentric circle maps as opposed to the commonly used orthogonal mode representation, which is suggested by previous studies that it could promote better network learning. In comparison with existing methods, the proposed method is more compatible with the framework of effective map design from psychological and aesthetic perspectives, and a range of options can be provided in conjunction with users' preferences. We evaluated our approach on a set of iterations with case studies of Hong Kong metro with a group of three co‐authors from the fields of geography, transport engineering, and education. [ABSTRACT FROM AUTHOR]

ABSTRACT As technological advancements continue to blur the boundaries between cyber and physical spaces, individuals' activities are not limited to physical space and increasingly transcend singular space. Prior research on interactions between cyber and physical spaces oversimplified or even overlooked the interactions between the two spaces due to limited access to human activity big data, for instance, the implications of cyber–physical interactions for tourism. Consequently, this study proposes an overtourism index framework intended to capture travel behaviors in both cyber and physical spaces to address the research gap. Based on extensive social media data from Hong Kong, the proposed framework is tested and validated efficiently to emulate tourism interactions between cyber and physical spaces at fine spatiotemporal resolutions. The results indicate that there is strong convergent interaction among the public in both cyber and physical spaces. Moreover, an online WebGIS interactive platform (https://arcg.is/0mzHyH) has been developed for visualizing these interactions and provides better decision‐making regarding tourism policy in Hong Kong. [ABSTRACT FROM AUTHOR]

Weather radar data play an important role in meteorological analysis and forecasting. In particular, web‐based real‐time 3D visualization will enable and enhance various meteorological applications by avoiding the dissemination of a large amount of data over the internet. Despite that, most existing studies are either limited to 2D or small‐scale data analytics due to methodological limitations. This article proposes a new framework to enable web‐based real‐time 3D visualization of large‐scale weather radar data using 3D tiles and WebGIS technology. The 3D tiles technology is an open specification for online streaming massive heterogeneous 3D geospatial datasets, which is designed to improve rendering performance and reduce memory consumption. First, the weather radar data from multiple single‐radar sites across a large coverage area are organized into a spliced grid data (i.e., weather radar composing data, WRCD). Next, the WRCD is converted into a widely used 3D tile data structure in four steps: data preprocessing, data indexing, data transformation, and 3D tile generation. Last, to validate the feasibility of the proposed strategy, a prototype, namely Meteo3D at https://202.195.237.252:82, is implemented to accommodate the WRCD collected from all the weather radar sites over the whole of China. The results show that near real‐time and accurate visualization for the monitoring and early warning of strong convective weather can be achieved. [ABSTRACT FROM AUTHOR]