Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling, 1st Edition eBook

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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.

This is a digital product.

Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling 1st Edition is written by Kimberly Winson-Geideman; Andy Krause; Clifford A. Lipscomb; Nick Evangelopoulos and published by Routledge. The Digital and eTextbook ISBNs for Real Estate Analysis in the Information Age are 9781315311111, 1315311119 and the print ISBNs are 9780367828264, 036782826X. Additional ISBNs for this eTextbook include 9781138232891, 9781138232907, 9781315311128, 9781315311135, 9781315311104.