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Springer Data Augmented Design - Sustainable Urban Planning Book

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Description

Data Augmented Design: Embracing New Data for Sustainable Urban Planning and Design introduces a transformative methodology that integrates big, open, and conventional data into urban planning and design practice. This Springer publication explores data-driven methods and cutting-edge technologies that enable multi-data, multi-method, multi-stage and multi-scale approaches to sustainable urban development. Across four sections and ten chapters, the book presents real-world case studies demonstrating how Data Augmented Design serves as a future-oriented framework for professionals, academics, and planners seeking to align urban design decisions with evidence-based insights and environmental sustainability goals.

Key Features

Comprehensive introduction to Data Augmented Design methodology and its evolution within urban planning disciplines.

Integrates big data, open data, and conventional data sources into practical urban design applications and frameworks.

Presents cutting-edge technologies and theories supporting multi-scale sustainable urban planning strategies.

Includes ten chapters organised across four sections with real-world case studies and practical examples.

Published by Springer as part of the Strategies for Sustainability series for academic and professional audiences.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 August 2020
Listed Since
01 May 2020

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No barcode data available

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