Urban climates and climate change
Cities are particularly vulnerable to extreme weather episodes, which are expected to
increase with climate change. Cities also influence their own local climate, for example …
increase with climate change. Cities also influence their own local climate, for example …
Applications of 3D city models: State of the art review
In the last decades, 3D city models appear to have been predominantly used for
visualisation; however, today they are being increasingly employed in a number of domains …
visualisation; however, today they are being increasingly employed in a number of domains …
[HTML][HTML] Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes
F Biljecki, YS Chow, K Lee - Building and Environment, 2023 - Elsevier
Geospatial data of the building stock is essential in many domains pertaining to the built
environment. These datasets are often provided by governments, but crowdsourcing them …
environment. These datasets are often provided by governments, but crowdsourcing them …
Generating 3D city models without elevation data
Elevation datasets (eg point clouds) are an essential but often unavailable ingredient for the
construction of 3D city models. We investigate in this paper to what extent can 3D city …
construction of 3D city models. We investigate in this paper to what extent can 3D city …
City-descriptive input data for urban climate models: Model requirements, data sources and challenges
Cities are particularly vulnerable to meteorological hazards because of the concentration of
population, goods, capital stock and infrastructure. Urban climate services require multi …
population, goods, capital stock and infrastructure. Urban climate services require multi …
Creating 3D city models with building footprints and LIDAR point cloud classification: A machine learning approach
Y Park, JM Guldmann - Computers, environment and urban systems, 2019 - Elsevier
The increasing availability of open geospatial data, such as building footprint vector data
and LiDAR (Light Detection and Ranging) point clouds, has provided opportunities to …
and LiDAR (Light Detection and Ranging) point clouds, has provided opportunities to …
Predicting building types using OpenStreetMap
Having accurate building information is paramount for a plethora of applications, including
humanitarian efforts, city planning, scientific studies, and navigation systems. While …
humanitarian efforts, city planning, scientific studies, and navigation systems. While …
Validating activity, time, and space diversity as essential components of urban vitality
Urbanization's rapid progress presents an urgent challenge for developing a predictive,
quantitative theory of “the death and life of cities”(aka “the essential diversity conditions for …
quantitative theory of “the death and life of cities”(aka “the essential diversity conditions for …
Large-scale urban building function mapping by integrating multi-source web-based geospatial data
Morphological (eg shape, size, and height) and function (eg working, living, and shopping)
information of buildings is highly needed for urban planning and management as well as …
information of buildings is highly needed for urban planning and management as well as …
DBSCAN spatial clustering analysis of urban “Production–Living–Ecological” space based on POI data: a case study of central urban Wuhan, China
X Tu, C Fu, A Huang, H Chen, X Ding - International Journal of …, 2022 - mdpi.com
As urban spatial patterns are the prerequisite and foundation of urban planning, spatial
pattern research will enable its improvement. The formation mechanism and definition of an …
pattern research will enable its improvement. The formation mechanism and definition of an …