Geospatial Data Analysis

Catalog description

Geospatial data is information associated with locations on the surface of the Earth and can include a variety of different types of data used in environmental science, such as sample collection locations at a field-study site, the areal extent of a forest biome, or the output generated by global climate models. The analysis of geospatial data also allows social scientists to identify disparities in access to natural resources or exposure to pollutants and hazards and has been critical to the study of environmental justice. This course provides an introduction to foundational concepts in physical geography and geodesy, cartography and geostatistics, along with practical experience in geospatial data analysis using open-source Geographic Information Systems (GIS) software. Although we will focus primarily on environmental applications, the skills learned in this course can be utilized in many natural and social-science disciplines, as well as to help you avoid getting lost! This course is part of the Sarah Lawrence Interdisciplinary Collaborative on the Environment (SLICE) and will participate in interdisciplinary events and/or collaborative projects with other SLICE students. Watersheds