This textbook and lab manual set integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition of the textbook, and its accompanying lab manual, showcase the best practices of spatial computational social science and include numerous new examples and case studies with step-by-step instructions in ArcGIS Pro, and open-source platform KNIME. KNIME supports visual programming and multiple scripting language such as R, Python, and Java. It helps readers sharpen their GIS skills by applying GIS techniques in detecting spatiotemporal crime hot spots, measuring accessibility of primary care physicians, forecasting the impact of hospital closures on local community, or siting the best locations for business. Features Fully updated using the latest version of ArcGIS Pro and open-source platform KNIME Includes many compelling examples and real-world case studies related to social science, urban planning, and public policy with clear step-by-step instructions Provides newly automated programs for regionalization, functional region delineation, accessibility measures, maximal accessibility equality problem, and agent-based crime simulation Includes 22 case studies from USA and China that parallel the methods developed in the textbook and enable readers to easily replicate and expand their work Adds two new chapters on agent-based modeling and big data analytics Provides support materials for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual This set is intended for upper-level undergraduate and graduate students taking courses in quantitative geography, spatial analysis, GIS applications in socioeconomic studies, GIS applications in business, location theory. Researchers in similar fields: geography, city and regional planning, sociology, criminology, public health, and public administration.

Fully updated using the latest version of ArcGIS Pro and open-source platform KNIME. Features two brand new chapters on agent-based modeling and big data analytics. Provides newly automated tools for regionalization, functional region delineation, accessibility measures, planning for maximum equality in accessibility, and agent-based crime simulation. Includes many compelling examples and real-world case studies related to social science, urban planning, and public policy. Provides a web site for downloading data and programs for implementing all case studies included in the Lab Manual.

Introduces innovative state-of-the-art methods for delineation of hospital service areas Studies the temporal trend of intra-urban commuting patterns based on the most recent data Explains the best practices and one-stop solution for urban and regional planning, and public health Includes free ready-to-download GIS-based simulation tools and sample data and an explanation of optimization and statistical techniques for measuring commutes Presents a methodology that can be easily applicable to other studies in urban planning

The first hands-on, open source, KNIME lab manual written in tutorial style and focused on GIS applications in Social Sciences Includes 22 case studies from USA and China that parallel the methods developed in the textbook Provides clear step-by-step explanations on how to use open-source platform KNIME to understand basic and advanced analytical methods through real life case studies Enables readers to easily replicate and expand their work with new data and models A valuable guide for students and practitioners worldwide engaged in efforts to develop GIS automation in spatial analysis Provides support materials for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual

Commuting, the daily link between residences and workplaces, sets up the complex interaction between the two most important land uses (residential and employment) in a city, and dictates the configuration of urban structure. In addition to prolonged time and stress for individual commuters on traffic, commuting comes with additional societal costs including elevated crash risks, worsening air quality, and louder traffic noise, etc. These issues are important to city planners, policy researchers, and decision makers. GIS-Based Simulation and Analysis of Intra-Urban Commuting, presents GIS-based simulation, optimization and statistical approaches to measure, map, analyze, and explain commuting patterns including commuting length and efficiency. Several GIS-automated easy-to-use tools will be available, along with sample data, for readers to download and apply to their own studies. This book recognizes that reporting errors from survey data and use of aggregated zonal data are two sources of bias in estimation of wasteful commuting, it studies the temporal trend of intraurban commuting pattern based on the most recent period newly-available 2006-2010, and it focuses on commuting, and especially wasteful commuting within US cities. It includes ready-to-download GIS-based simulation tools and sample data, and an explanation of optimization and statistical techniques of how to measure commuting, as well as presenting a methodology that can be applicable to other studies. This book is an invaluable resource for students, researchers, and practitioners in geography, urban planning, public policy, transportation engineering, and other related disciplines.

Commuting, the daily link between residences and workplaces, sets up the complex interaction between the two most important land uses (residential and employment) in a city, and dictates the configuration of urban structure. In addition to prolonged time and stress for individual commuters on traffic, commuting comes with additional societal costs including elevated crash risks, worsening air quality, and louder traffic noise, etc. These issues are important to city planners, policy researchers, and decision makers. GIS-Based Simulation and Analysis of Intra-Urban Commuting, presents GIS-based simulation, optimization and statistical approaches to measure, map, analyze, and explain commuting patterns including commuting length and efficiency. Several GIS-automated easy-to-use tools will be available, along with sample data, for readers to download and apply to their own studies. This book recognizes that reporting errors from survey data and use of aggregated zonal data are two sources of bias in estimation of wasteful commuting, it studies the temporal trend of intraurban commuting pattern based on the most recent period newly-available 2006-2010, and it focuses on commuting, and especially wasteful commuting within US cities. It includes ready-to-download GIS-based simulation tools and sample data, and an explanation of optimization and statistical techniques of how to measure commuting, as well as presenting a methodology that can be applicable to other studies. This book is an invaluable resource for students, researchers, and practitioners in geography, urban planning, public policy, transportation engineering, and other related disciplines.