1st Edition
Real Estate Analysis in the Information Age Techniques for Big Data and Statistical Modeling
Introduction
Section 1 Concepts
Chapter 1 Traditional Real Estate Data – the what, where, when and how
Chapter 2 Big Data
Section 2 Data management and related issues
Chapter 3 Managing real estate data
Chapter 4 Cleaning real estate data
Chapter 5 Building a transparent and repeatable workflow
Chapter 6 The process of gathering ‘Big’ real estate data
Section 3 Modeling and Analysis
Chapter 7 Software tools for real estate analysis
Chapter 8 Mapping and exploratory data analysis
Chapter 9 Analyzing spatio-temporal changes in properties
Chapter 10 Statistical techniques to identify data error and outliers
Chapter 11 Pricing models
Chapter 12 Analysis of unstructured text
Section 4 Concluding remarks
Chapter 13 The legalities of Big Data
Chapter 14 The future of Big Data
APPENDICES Two case studies
Case Study 1: residential property valuation
Case Study 2: analysis of social media content
Biography
Kimberly Winson-Geideman is Senior Lecturer in Property at the University of Melbourne, Australia.
Andy Krause is Principal Data Scientist at Greenfield Advisors, USA.
Clifford A. Lipscomb is the Vice Chairman and Co-Managing Director at Greenfield Advisors, USA.
Nicholas Evangelopoulos is Professor of Business Analytics at the University of North Texas, USA.
