To approach human-environment dynamics and relationships, it is necessary to combine human and environmental data. Considering the movement towards interdisciplinary and transdisciplinary research, this integration of social surveys and environmental datasets is becoming more and more relevant. In this workshop, we provide a review of the technical approaches for linking human and environmental data. This is intended to give new researchers a background on methods and considerations in analysis of these topics and also to practice building and applying these tools. The first half of the workshop will provide a general overview of statistical diagnostic tools and modeling approaches (such as spatial multilevel modeling and agent-based modeling). We will then highlight a range of platforms available for beginner to advanced practitioners. Finally, we will discuss how to choose the appropriate techniques for addressing specific research questions. The second half of the workshop will focus on example applications using real-world datasets. These applications will provide participants with understanding of the kinds of questions that can and cannot be answered with existing tools, a background of format, confidentiality, and data quality concerns, and familiarity with some common software platforms.
