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Article-Journal
Unsupervised machine learning in urban studies: A systematic review of applications
Unsupervised learning (UL) has a long and successful history in untangling the complexity of cities. As the counterpart of supervised …
Wang Jing
,
Filip Biljecki
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DOI
A review of spatially-explicit GeoAI applications in Urban Geography
Urban Geography studies forms, social fabrics, and economic structures of cities from a geographic perspective. Catalysed by the …
Pengyuan Liu
,
Filip Biljecki
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DOI
3D building metrics for urban morphology
Urban morphology is important in a broad range of investigations across the fields of city planning, transportation, climate, energy, …
Anna Labetski
,
Stelios Vitalis
,
Filip Biljecki
,
Ken Arroyo Ohori
,
Jantien Stoter
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DOI
3D building reconstruction from single street view images using deep learning
3D building models are an established instance of geospatial information in the built environment, but their acquisition remains …
Pang Hui En
,
Filip Biljecki
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DOI
Free and open source urbanism: Software for urban planning practice
Free and open source tools present numerous opportunities to support current urban planning practice. However, their overview is …
Winston Yap
,
Patrick Janssen
,
Filip Biljecki
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DOI
ifc2indoorgml: An open-source tool for generating IndoorGML from IFC
The interest in 3D indoor models has been continuously growing. Most such models are made available as point clouds or BIM (e.g., IFC), …
AA Diakite
,
L Díaz-Vilariño
,
Filip Biljecki
,
Ü Isikdag
,
S Simmons
,
K Li
,
S Zlatanova
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DOI
Infrared thermography in the built environment: A multi-scale review
The paper presents a review on major contributions in infrared thermography to study the built environment at multiple scales. To …
Miguel Martin
,
Adrian Chong
,
Filip Biljecki
,
Clayton Miller
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DOI
Global Building Morphology Indicators
Characterising and analysing urban morphology is a continuous task in urban data science, environmental analyses, and many other …
Filip Biljecki
,
Yoong Shin Chow
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Dataset
Project
DOI
Population estimation beyond counts---Inferring demographic characteristics
Mapping population distribution at a fine spatial scale is essential for urban studies and planning. Numerous studies, mainly supported …
Noée Szarka
,
Filip Biljecki
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DOI
GANmapper: geographical data translation
We present a new method to create spatial data using a generative adversarial network (GAN). Our contribution uses coarse and widely …
Abraham Noah Wu
,
Filip Biljecki
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