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.

Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. - Excellent mixture of theory and application - Data and database analysis techniques are the first of their kind

This work focuses on integrating land-use location science with the technology of geographic information systems (GIS). The text describes the basic principles of location decision and the means for applying them in order to improve the real estate decision.

Emerging markets in real estate investing have been an increasing focus for institutional real estate investors worldwide. Part of the Fabozzi series, this book is an insightful overview of international real estate focusing on three of the BRICs: China, India, and Brazil. The authors provide a framework for thinking about these dynamic markets characterized by youthful populations, extraordinary demand, capital inefficiency, and aspiration. Also discussed are the sociopolitical issues, policy, and entry/exit strategies. Notably, the book makes a sanguine assessment of the risks and opportunities of alternative strategies in each country.

Rev. ed. of: Commercial real estate analysis and investments / David M. Geltner ... [et al.]. Mason, Ohio: Thompson South-Western, c2007.

From a Harvard Business School professor comes a concise, accessible, state-of-the-art guide to developing and investing in real estate.