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 (English Edition) Kindle电子书
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美国亚马逊： 2 条评论
Decent overview2019年2月3日 - 已在美国亚马逊上发表
The book provides a coherent framework for thinking about data analytics in the context of real estate. This is not a how-to manual but there are some useful links and references to literature and data sources. I think the book is useful for someone thinking about embarking on a an analytical project in real estate for the first time and wanting to make sure he/she is properly oriented.