GIS is not just for mapping. As an information system and science, it also provides tools and perspective for learning what spatial data can tell us about the world and its geography. It leverages the special characteristics of spatial data and processes to derive more insight from data than a non-spatial approach can do. This course builds on introductory concepts and skills of spatial data management and cartography to cover a range of exploratory, statistical, and predictive spatial analysis techniques, using publicly available and student-prepared datasets. Students use ArcGIS, QGIS, and other tools to prepare and perform the analyses, then visualize and interpret the results. Emphasis is on learning the interpretive strengths and weaknesses of different analysis techniques and drawing valid conclusions from them in diverse applications.
Harvard Summer School 7-Week Summer Session, 2017 CRN 33925
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