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Energy Efficiency and the Future of Real Estate (Hardcover, 1st ed. 2017): N. Edward Coulson, Yongsheng Wang, Clifford A.... Energy Efficiency and the Future of Real Estate (Hardcover, 1st ed. 2017)
N. Edward Coulson, Yongsheng Wang, Clifford A. Lipscomb
R4,181 Discovery Miles 41 810 Ships in 10 - 15 working days

This book explores how energy efficiency is a major component in the development of sustainable real estate. Efficiency is one of the most frequently-mentioned aspects of government policies for green building design in the United States and around the world. There has been a significant amount of effort devoted to the creation of green practices in real estate, including building construction, building assessment, city planning, investment, governmental regulation and policies, and industrial development. One of the key emphases of the above activities is energy efficiency, thus it is crucial for researchers and readers to have a comprehensive overview of the topic, as this book provides.

Real Estate Analysis in the Information Age - Techniques for Big Data and Statistical Modeling (Paperback): Kimberly... Real Estate Analysis in the Information Age - Techniques for Big Data and Statistical Modeling (Paperback)
Kimberly Winson-Geideman, Andy Krause, Clifford A. Lipscomb, Nick Evangelopoulos
R2,267 Discovery Miles 22 670 Ships in 12 - 19 working days

The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This 'Big Data' phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data. Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling focuses on the real estate discipline, guiding researchers and practitioners alike on the use of data-centric methods and analysis from applied and theoretical perspectives. In it, the authors detail the integration of Big Data into conventional real estate research and analysis. The book is process-oriented, not only describing Big Data and associated methods, but also showing the reader how to use these methods through case studies supported by supplemental online material. The running theme is the construction of efficient, transparent, and reproducible research through the systematic organization and application of data, both traditional and 'big'. The final chapters investigate legal issues, particularly related to those data that are publicly available, and conclude by speculating on the future of Big Data in real estate.

Real Estate Analysis in the Information Age - Techniques for Big Data and Statistical Modeling (Hardcover): Kimberly... Real Estate Analysis in the Information Age - Techniques for Big Data and Statistical Modeling (Hardcover)
Kimberly Winson-Geideman, Andy Krause, Clifford A. Lipscomb, Nick Evangelopoulos
R5,373 Discovery Miles 53 730 Ships in 12 - 19 working days

The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This 'Big Data' phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data. Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling focuses on the real estate discipline, guiding researchers and practitioners alike on the use of data-centric methods and analysis from applied and theoretical perspectives. In it, the authors detail the integration of Big Data into conventional real estate research and analysis. The book is process-oriented, not only describing Big Data and associated methods, but also showing the reader how to use these methods through case studies supported by supplemental online material. The running theme is the construction of efficient, transparent, and reproducible research through the systematic organization and application of data, both traditional and 'big'. The final chapters investigate legal issues, particularly related to those data that are publicly available, and conclude by speculating on the future of Big Data in real estate.

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