Guowei Luo
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Identification of Urban Building Functions Based on Points of Interest and Spatial Relationships between Geographic Entities Open
Knowing the functions of buildings is valuable in urban planning and management. For example, it can be used for the assessment of urban planning implementation and the fine-tuning of community governance. At large scales, determining buil…
Spatial Characteristics and Influencing Factors of Commuting in Central Urban Areas Using Mobile Phone Data: A Case Study of Nanning Open
Urban commuting characteristics have important implications for both the spatial planning and governance of cities. However, the traditional methods of surveying the characteristics of commuting are very time- and labour-intensive, with th…
Urban Functional Zone Classification Based on POI Data and Machine Learning Open
The identification of urban spatial functional units is of great significance in urban planning, construction, management, and services. Conventional field surveys are labour-intensive and time-consuming, while the abundant data available …
Recognizing Building Group Patterns in Topographic Maps by Integrating Building Functional and Geometric Information Open
Recognizing building group patterns is fundamental to numerous fields, such as urban landscape evaluation, social analysis, and map generalization. Despite the increasing number of algorithms available for building group pattern recognitio…
Recognizing Linear Building Patterns in Topographic Data by Using Two New Indices based on Delaunay Triangulation Open
Building pattern recognition is fundamental to a wide range of downstream applications, such as urban landscape evaluation, social analyses, and map generalization. Although many studies have been conducted, there is still a lack of satisf…
A Multi-Scale Residential Areas Matching Method Using Relevance Vector Machine and Active Learning Open
Multi-scale object matching is the key technology for upgrading feature cascade and integrating multi-source spatial data. Considering the distinctiveness of data at different scales, the present study selects residential areas in a multi-…