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portada Context-rich Urban Analysis Using Machine Learning: A Case Study in Pittsburgh, PA
Type
Physical Book
Author
Publisher
Language
English
Pages
124
Format
Paperback
Dimensions
22.9x15.2x0.8 cm
Weight
0.24 kg.
ISBN13
9789975347518
Categories

Context-rich Urban Analysis Using Machine Learning: A Case Study in Pittsburgh, PA

Jinmo Rhee (Author) · Eliva Press · Paperback

Context-rich Urban Analysis Using Machine Learning: A Case Study in Pittsburgh, PA - Rhee, Jinmo

New Book Imported to New Zealand
Delivery: 05 Oct - 15 Oct Shipping: 17 to 21 business days.
NZ$ 167.25
Import costs and 15% GST included in the price ✅
NZ$ 167.25

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Synopsis "Context-rich Urban Analysis Using Machine Learning: A Case Study in Pittsburgh, PA"

This book presents the analytic and generative potential of using machine learning methods on context-rich urban datasets. Working with a dataset of Pittsburgh's urban data, this research proposes a novel method to extract information about each building in the city in ways that reflect its immediate urban context and analyze it in terms of urban homogeneity through machine learning algorithms. The method can identify clusters of urban spaces sharing similar architectural context conditions by statistically calculating features of all building footprints and urban contexts in Pittsburgh. From the clustering results, a new type of map called a 'datadriven map of urban morphological types' can be generated. The interpretations and applications of this map and method will be discussed. From these discussions I will address values, meanings, and potentials of this new method in terms of architectural design, urbanism, and computation.

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