Computational Methods and GIS Applications in Social Science - Textbook and Lab Manual

This textbook provides a comprehensive introduction to spatial analysis and modeling using ArcGIS Pro and KNIME, with a focus on social science, urban planning, and public policy applications. It includes updated examples and case studies, automated programs for regionalization, functional region delineation, accessibility measures, and agent-based crime simulation, and supports data download and program implementation.

Format: Mixed media product
Length: 602 pages
Publication date: 25 October 2023
Publisher: Taylor & Francis Ltd

Here is the rephrased text:

This comprehensive textbook offers a thorough introduction to spatial data analysis using ArcGIS Pro and the open-source platform KNIME. It is fully updated with the latest version of ArcGIS Pro and provides a wealth of compelling examples and real-world case studies related to social science, urban planning, and public policy. With clear step-by-step instructions, the book guides readers through the process of analyzing spatial data and applying advanced spatial analysis techniques.

One of the key features of the textbook is its emphasis on regionalization, functional region delineation, accessibility measures, and maximal accessibility equality problem. It offers newly automated programs for these tasks, making it easier for readers to perform complex spatial analysis without the need for extensive programming knowledge. The book also includes 22 case studies from the USA and China that parallel the methods developed in the textbook and enable readers to easily replicate and expand their work.

In addition to its practical applications, the textbook also introduces two new chapters on agent-based modeling and big data analytics. It provides support materials for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual, making it an invaluable resource for students and professionals in the field.

Overall, this textbook is an essential resource for anyone interested in spatial data analysis and its applications in social science, urban planning, and public policy. Its comprehensive coverage, practical examples, and user-friendly approach make it an ideal textbook for both undergraduate and graduate courses.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032285184