Computational Methods and GIS Applications in Social Science - Lab Manual

<p>This lab manual is a companion to the third edition of the textbook <b>Computational Methods and GIS Applications in Social Science</b>. 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.</p><p><b>FEATURES</b></p><ul> <li>The first hands-on open-source KNIME lab manual written in tutorial style and focused on GIS applications in social science</li> <li>Includes 22 case studies from the United States and China that parallel the methods developed in the textbook</li> <li>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</li> <li>Enables readers to easily replicate and expand their work with new data and models</li> <li>A valuable guide for students and practitioners worldwide engaged in efforts to develop GIS automation in spatial analysis</li> </ul><p>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.</p>