Lingbo Liu – författare

This textbook integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial social science and includes numerous case studies with step-by-step instructions in ArcGIS Pro and open-source platform KNIME. Readers sharpen their GIS skills by applying GIS techniques in detecting crime hotspots, 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

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 website for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual

Intended for students taking upper-level undergraduate and graduate-level courses in quantitative geography, spatial analysis, and GIS applications, as well as researchers and professionals in fields such as geography, city and regional planning, crime analysis, public health, and public administration.

This textbook integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial social science and includes numerous case studies with step-by-step instructions in ArcGIS Pro and open-source platform KNIME. Readers sharpen their GIS skills by applying GIS techniques in detecting crime hotspots, 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

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 website for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual

Intended for students taking upper-level undergraduate and graduate-level courses in quantitative geography, spatial analysis, and GIS applications, as well as researchers and professionals in fields such as geography, city and regional planning, crime analysis, public health, and public administration.

This lab manual is a companion to the third edition of the textbook Computational Methods and GIS Applications in Social Science. It uses the open-source platform KNIME to illustrate a step-by-step implementation of each case study in the book. KNIME is a workflow-based platform supporting visual programming and multiple scripting language such as R, Python, and Java. The intuitive, structural workflow not only helps students better understand the methodology of each case study in the book, but also enables them to easily replicate, transplant and expand the workflow for further exploration with new data or models. This lab manual could also be used as a GIS automation reference for advanced users in spatial analysis.

FEATURES

The first hands-on, open-source KNIME lab manual written in tutorial style and focused on GIS applications in social science Includes 22 case studies from the United States and China that parallel the methods developed in the textbook Provides clear step-by-step explanations on how to use the 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

This lab manual 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, and location theory, as well as researchers in the similar fields of geography, city and regional planning, sociology, and public administration.

This lab manual is a companion to the third edition of the textbook Computational Methods and GIS Applications in Social Science. It uses the open-source platform KNIME to illustrate a step-by-step implementation of each case study in the book. KNIME is a workflow-based platform supporting visual programming and multiple scripting language such as R, Python, and Java. The intuitive, structural workflow not only helps students better understand the methodology of each case study in the book, but also enables them to easily replicate, transplant and expand the workflow for further exploration with new data or models. This lab manual could also be used as a GIS automation reference for advanced users in spatial analysis.

FEATURES

The first hands-on, open-source KNIME lab manual written in tutorial style and focused on GIS applications in social science Includes 22 case studies from the United States and China that parallel the methods developed in the textbook Provides clear step-by-step explanations on how to use the 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

This lab manual 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, and location theory, as well as researchers in the similar fields of geography, city and regional planning, sociology, and public administration.

This textbook integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial social science and includes numerous case studies with step-by-step instructions in ArcGIS Pro and open-source platform KNIME. Readers sharpen their GIS skills by applying GIS techniques in detecting crime hotspots, 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 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 website for downloading data and programs for implementing all case studies included in the book and the KNIME lab manualIntended for students taking upper-level undergraduate and graduate-level courses in quantitative geography, spatial analysis, and GIS applications, as well as researchers and professionals in fields such as geography, city and regional planning, crime analysis, public health, and public administration.

This textbook integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial social science and includes numerous case studies with step-by-step instructions in ArcGIS Pro and open-source platform KNIME. Readers sharpen their GIS skills by applying GIS techniques in detecting crime hotspots, 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 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 website for downloading data and programs for implementing all case studies included in the book and the KNIME lab manualIntended for students taking upper-level undergraduate and graduate-level courses in quantitative geography, spatial analysis, and GIS applications, as well as researchers and professionals in fields such as geography, city and regional planning, crime analysis, public health, and public administration.

This set includes the third edition of Computational Methods and GIS in Social Science and the accompanying lab manual. It 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 languages such as R, Python, and Java. It helps readers sharpen their GIS skills by applying GIS techniques in detecting spatiotemporal crime hot spots, measuring the accessibility of primary care physicians, forecasting the impact of hospital closures on the local community, or siting the best locations for business.FeaturesFully updated using the latest version of ArcGIS Pro and open-source platform KNIMEIncludes many compelling examples and real-world case studies related to social science, urban planning, and public policy with clear step-by-step instructionsProvides newly automated programs for regionalization, functional region delineation, accessibility measures, maximal accessibility equality problem, and agent-based crime simulationIncludes 22 case studies from USA and China that parallel the methods developed in the textbook and enable readers to easily replicate and expand their workAdds two new chapters on agent-based modeling and big data analyticsProvides support materials for downloading data and programs for implementing all case studies included in the book and the KNIME lab manualThis 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.

This set includes the third edition of Computational Methods and GIS in Social Science and the accompanying lab manual. It 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 languages such as R, Python, and Java. It helps readers sharpen their GIS skills by applying GIS techniques in detecting spatiotemporal crime hot spots, measuring the accessibility of primary care physicians, forecasting the impact of hospital closures on the local community, or siting the best locations for business.FeaturesFully updated using the latest version of ArcGIS Pro and open-source platform KNIMEIncludes many compelling examples and real-world case studies related to social science, urban planning, and public policy with clear step-by-step instructionsProvides newly automated programs for regionalization, functional region delineation, accessibility measures, maximal accessibility equality problem, and agent-based crime simulationIncludes 22 case studies from USA and China that parallel the methods developed in the textbook and enable readers to easily replicate and expand their workAdds two new chapters on agent-based modeling and big data analyticsProvides support materials for downloading data and programs for implementing all case studies included in the book and the KNIME lab manualThis 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.