Daniel czamanski (60 risultati)

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Condizione: Used. pp. 166 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

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Hardcover. Condizione: Brand New. 168 pages. 9.75x6.25x0.75 inches. In Stock.

Hardcover. Condizione: Brand New. 328 pages. In Stock.

Paperback. Condizione: Brand New. reprint edition. 204 pages. 9.25x6.10x0.48 inches. In Stock.

Hardcover. Condizione: new. Hardcover. Daniel Czamanski analyzes the transition of urban economics from historical methods to contemporary inductive reasoning. Evaluating this change across the fields early evolution to modern data-driven approaches, he builds on key concepts to explore complexity theory and artificial intelligence.Outlining central topics, including land-use patterns, housing markets, transportation systems and environmental impact, Czamanski provides inductive responses which rely on empirical evidence as the basis for explaining urban growth. Moving past traditional, deductive-centric approaches, chapters emphasize the need to leverage advanced modeling techniques and data analysis to address complex challenges, such as spatial inequality and climate change. The book highlights the importance of understanding cities as nuanced, interconnected systems where macro patterns emerge from micro-level decisions, advocating for integrated and adaptable approaches to urban development and policymaking.Towards a New Urban Economics is an essential resource for scholars and students of economics, finance and disruptive technologies. City planners and government regulators will similarly benefit from its actionable insights into the future of urban spaces. Daniel Czamanski analyzes the transition of urban economics from historical methods to contemporary inductive reasoning. Evaluating this change across the fields early evolution to modern data-driven approaches, he builds on key concepts to explore complexity theory and artificial intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condizione: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

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hardcover. Condizione: Very Good. Cover and edges may have some wear.

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Condizione: New. 2025. hardcover. . . . . .

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Hardcover. Condizione: new. Hardcover. Daniel Czamanski analyzes the transition of urban economics from historical methods to contemporary inductive reasoning. Evaluating this change across the fields early evolution to modern data-driven approaches, he builds on key concepts to explore complexity theory and artificial intelligence.Outlining central topics, including land-use patterns, housing markets, transportation systems and environmental impact, Czamanski provides inductive responses which rely on empirical evidence as the basis for explaining urban growth. Moving past traditional, deductive-centric approaches, chapters emphasize the need to leverage advanced modeling techniques and data analysis to address complex challenges, such as spatial inequality and climate change. The book highlights the importance of understanding cities as nuanced, interconnected systems where macro patterns emerge from micro-level decisions, advocating for integrated and adaptable approaches to urban development and policymaking.Towards a New Urban Economics is an essential resource for scholars and students of economics, finance and disruptive technologies. City planners and government regulators will similarly benefit from its actionable insights into the future of urban spaces. Daniel Czamanski analyzes the transition of urban economics from historical methods to contemporary inductive reasoning. Evaluating this change across the fields early evolution to modern data-driven approaches, he builds on key concepts to explore complexity theory and artificial intelligence. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardback. Condizione: New. This pioneering Handbook outlines the ways in which big data and artificial intelligence (AI) are reshaping cities. Leading scholars analyze how innovative computational methods can make use of the vast amounts of data available to gain new insights into urban life, inform policy, and drive innovation.Chapters delve into specific applications of big data and AI including mobility, tourism, and land use, drawing on case studies from diverse urban environments across Europe and North America. Expert authors evaluate future opportunities for leveraging these technologies, addressing the integration of machine learning into spatial econometric models, the use of self-organizing maps to study demographic shifts, and novel approaches to simulating contagion patterns during pandemics. Ultimately, the Handbook emphasizes the potential of AI to contribute to social good.Academics and students in human geography, regional and urban studies, economics, sociology, and management will benefit from this multidisciplinary and comprehensive Handbook. Combining theoretical insights with practical applications, it is also a valuable resource for policymakers and practitioners interested in the ongoing digital transformation of urban spaces.…

Condizione: New. 2026. hardcover. . . . . .

Hardcover. Condizione: Brand New. 368 pages. 9.62x6.62x1.06 inches. In Stock.

Condizione: New.

Hardcover. Condizione: new. Hardcover. This pioneering Handbook outlines the ways in which big data and artificial intelligence (AI) are reshaping cities. Leading scholars analyze how innovative computational methods can make use of the vast amounts of data available to gain new insights into urban life, inform policy, and drive innovation.Chapters delve into specific applications of big data and AI including mobility, tourism, and land use, drawing on case studies from diverse urban environments across Europe and North America. Expert authors evaluate future opportunities for leveraging these technologies, addressing the integration of machine learning into spatial econometric models, the use of self-organizing maps to study demographic shifts, and novel approaches to simulating contagion patterns during pandemics. Ultimately, the Handbook emphasizes the potential of AI to contribute to social good.Academics and students in human geography, regional and urban studies, economics, sociology, and management will benefit from this multidisciplinary and comprehensive Handbook. Combining theoretical insights with practical applications, it is also a valuable resource for policymakers and practitioners interested in the ongoing digital transformation of urban spaces. This pioneering Handbook outlines the ways in which big data and artificial intelligence (AI) are reshaping cities. Leading scholars analyze how innovative computational methods can make use of the vast amounts of data available to gain new insights into urban life, inform policy, and drive innovation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…