Computational Methods and GIS Applications in Social Science

Computational Methods and GIS Applications in Social Science
Author: Fahui Wang
Publisher: CRC Press
Total Pages: 470
Release: 2023-08-16
Genre: Technology & Engineering
ISBN: 1000923304

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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.

Computational Methods and GIS Applications in Social Science

Computational Methods and GIS Applications in Social Science
Author: Lingbo Liu
Publisher:
Total Pages: 0
Release: 2023-08
Genre:
ISBN: 9781032302430

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"A companion to the third edition of the textbook Computational Methods and GIS Applications in Social Sciences, this lab manual uses an 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 helps students understand the methodology of each case study and enables them to easily replicate, transplant and expand the workflow for further exploration with new data or models. Advanced users of spatial analysis can also use this as a reference for GIS automation"--

Computational Methods and GIS Applications in Social Science - Lab Manual

Computational Methods and GIS Applications in Social Science - Lab Manual
Author: Lingbo Liu
Publisher: CRC Press
Total Pages: 284
Release: 2023-10-25
Genre: Technology & Engineering
ISBN: 100097054X

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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.

Computational Methods and GIS Applications in Social Science

Computational Methods and GIS Applications in Social Science
Author: Fahui Wang
Publisher: CRC Press
Total Pages: 440
Release: 2023-08-16
Genre: Technology & Engineering
ISBN: 1000923266

Download Computational Methods and GIS Applications in Social Science Book in PDF, Epub and Kindle

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.

Quantitative Methods and Socio-Economic Applications in GIS

Quantitative Methods and Socio-Economic Applications in GIS
Author: Fahui Wang
Publisher: CRC Press
Total Pages: 328
Release: 2014-12-19
Genre: Mathematics
ISBN: 1466584734

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The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) me

Geographic Information Systems for the Social Sciences

Geographic Information Systems for the Social Sciences
Author: Steven J. Steinberg
Publisher: SAGE Publications
Total Pages: 273
Release: 2005-08-04
Genre: Social Science
ISBN: 1506319610

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"The Steinbergs have produced a very relevant book for the times. . . . While many books have emerged on the details of GIS, few resources exist to help teach the merger of GIS with more standard research methods. The Steinbergs accomplish this goal in a way that is readily accessible even to undergraduates." —Theodore Wagenaar, Miami University "The Steinbergs take the reader through all of the essential foundations of GIS... using examples drawn from the social sciences throughout. This book will be essential reading for any social scientist looking for a straightforward introduction to GIS." —Mike Goodchild, University of California, Santa Barbara Geographic Information Systems for the Social Sciences: Investigating Space and Place is the first book to take a cutting-edge approach to integrating spatial concepts into the social sciences. In this text, authors Steven J. Steinberg and Sheila L. Steinberg simplify GIS (Geographic Information Systems) for practitioners and students in the social sciences through the use of examples and actual program exercises so that they can become comfortable incorporating this research tool into their repertoire and scope of interest. The authors provide learning objectives for each chapter, chapter summaries, links to relevant Web sites, as well as suggestions for student research projects. Key Features: Presents step-by-step guidance for integrating GIS with both quantitative and qualitative research Provides an introduction to the use of GIS technology written at an accessible level for individuals without GIS experience while providing depth and guidance appropriate to experienced GIS users Offers an associated interactive Web site—http://www.socialsciencegis.org—to provide a forum for sharing experience and ideas, input to the authors, and a variety of other examples, data, and information related to the topics covered in the text Geographic Information Systems for the Social Sciences offers a nuts-and-bolts introduction to GIS for undergraduate and graduate students taking methods courses across the social sciences. It is an excellent textbook for courses dedicated to GIS research and its applications in the fields of Sociology, Criminology, Public Health, Geography, Anthropology, Political Science, and Environmental Studies. It is also a valuable resource for any social scientist or practitioner interested in applying GIS technology to his or her work. An Instructor′s Resource CD, containing PowerPoint slides, test questions, and suggested Web site links, among other items, is also available to all professors adopting this text.

Spatial Analysis

Spatial Analysis
Author: Tonny J. Oyana
Publisher: CRC Press
Total Pages: 316
Release: 2015-07-28
Genre: Mathematics
ISBN: 1498707645

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An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present p

Big Data in Computational Social Science and Humanities

Big Data in Computational Social Science and Humanities
Author: Shu-Heng Chen
Publisher: Springer
Total Pages: 388
Release: 2018-11-21
Genre: Computers
ISBN: 3319954652

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This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities.