Computational Methods and GIS Applications in Social Science

The Lab Manual for Social Science Modeling with ArcGIS Pro provides updated information and tools for social science modeling, including agent-based modeling and big data analytics, with examples and case studies.

Format: Hardback
Length: 413 pages
Publication date: 16 August 2023
Publisher: Taylor & Francis Ltd

Here is the rephrased text:

This comprehensive textbook offers a thorough introduction to geographic information systems (GIS) and spatial analysis, covering essential concepts, tools, and applications. Written by renowned experts in the field, it provides a solid foundation for students and professionals seeking to advance their knowledge and skills in GIS and spatial analysis.

The textbook is fully updated using the latest version of ArcGIS Pro, a powerful and widely-used GIS software platform. It also incorporates the open-source platform KNIME, which offers additional tools and functionalities for data manipulation and analysis. This integration ensures that readers have access to the most up-to-date and cutting-edge technologies in the field.

The book is organized into nine chapters, each covering a different aspect of GIS and spatial analysis. The first chapter provides an overview of GIS and spatial analysis, introducing the basic concepts, principles, and applications. The subsequent chapters delve into more specific topics, such as geospatial data management, spatial modeling, and visualization.

One of the key strengths of the textbook is its emphasis on practical applications. Each chapter includes numerous examples and real-world case studies related to social science, urban planning, and public policy. These case studies help to illustrate the practical significance of GIS and spatial analysis and provide readers with a hands-on understanding of how these tools can be used to address real-world problems.

In addition to its practical focus, the textbook also includes two brand new chapters on agent-based modeling and big data analytics. These chapters address the growing importance of these topics in GIS and spatial analysis and provide readers with the tools and techniques needed to work with large and complex datasets.

The textbook is designed to be accessible to students with a variety of backgrounds and skill levels. It includes a comprehensive glossary of GIS and spatial analysis terms, as well as detailed explanations of complex concepts and algorithms. Additionally, the book includes many helpful resources, such as online exercises, sample datasets, and video tutorials, that reinforce the learning material and help readers apply their knowledge in real-world scenarios.

One of the notable features of the textbook is its emphasis on sustainability and environmental analysis. The authors recognize the importance of GIS and spatial analysis in addressing climate change, natural disasters, and other environmental challenges. The book includes chapters on sustainable land use planning, climate change modeling, and environmental impact assessment, providing readers with the tools and knowledge needed to contribute to sustainable development.

Overall, this comprehensive textbook offers a thorough and up-to-date introduction to GIS and spatial analysis. It is an invaluable resource for students, professionals, and anyone interested in exploring the world through the lens of geographic information. Whether you are a beginner or an experienced practitioner, this book will provide you with the knowledge and skills needed to succeed in this rapidly evolving field.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032266817
Edition number: 3 ed