1st Edition
Urban Informatics Using Big Data to Understand and Serve Communities
Chapter 1 Introduction
Chapter 2 Welcome to R
Chapter 3 Telling a Data Story: Examining Individual Records
Chapter 4 The Pulse of the City: Observing Variable Patterns
Chapter 5 Uncovering Information: Making and Creating Variables
Chapter 6 Measuring with Big Data
Chapter 7 Making Measures from Records: Aggregating and Merging Data
Chapter 8 Mapping Communities
Chapter 9 Advanced Visual Techniques
Chapter 10 Beyond Measurement: Inferential Statistics (and Correlations)
Chapter 11 Identifying Inequities across Groups: ANOVA and t-Test
Chapter 12 Unpacking Mechanisms Driving Inequities: Multivariate Regression
Chapter 13 Advanced Analytic Techniques
Chapter 14 Emergent Technologies
Bibliography
Index
Biography
Daniel T. O’Brien is Associate Professor in the School of Public Policy and Urban Affairs and the School of Criminology and Criminal Justice at Northeastern University. He focuses on the use of modern digital data sets to better understand urban processes, including crime, education, transportation, public health, and neighborhood social dynamics. He is Director of the Boston Area Research Initiative, in which capacity he has worked extensively to build effective models of research-policy collaboration that help us to better understand and serve cities. His previous book, The Urban Commons, captures the intersection of his efforts to advance both science and practice in cities, using the study of “custodianship” in neighborhoods through Boston’s 311 system to illustrate the potential of cross-sector collaborations in urban informatics.
