{"id":324,"date":"2022-06-21T19:10:02","date_gmt":"2022-06-22T02:10:02","guid":{"rendered":"https:\/\/www.edmundseto.com\/edmundseto\/?page_id=324"},"modified":"2022-07-05T14:36:59","modified_gmt":"2022-07-05T21:36:59","slug":"spatial-analysis-for-r-summer-2022-syllabus","status":"publish","type":"page","link":"https:\/\/www.edmundseto.com\/edmundseto\/spatial-analysis-for-r-summer-2022-syllabus\/","title":{"rendered":"Spatial Analysis in R – Summer 2022 Syllabus"},"content":{"rendered":"\n

Spatial Analysis in R<\/strong><\/h1>\n\n\n\n

with a Focus on Environmental Health<\/h1>\n\n\n\n

Summer 2022 Workshop Course
University of Science and Technology Beijing<\/p>\n\n\n\n

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Instructors<\/strong><\/p>\n\n\n\n

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Edmund Seto
Associate Professor
Department of Environmental & Occupational Health Sciences
University of Washington<\/p>\n<\/div>\n\n\n\n

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Lilian Liu
PhD Student
Department of Environmental & Occupational Health Sciences
University of Washington<\/p>\n<\/div>\n\n\n\n

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Xioashi Chen
Graduate Student
University of Science & Technology Beijing<\/p>\n<\/div>\n<\/div>\n\n\n\n

Course description<\/strong><\/p>\n\n\n\n

This is an introductory course in analyzing spatial data for environmental epidemiology. The course will describe common types of spatial datasets used in environmental epidemiology, including population census data, air pollution data, land use and land cover data, and data collected from mobile apps. Geographic Information System\/Science (GIS) and spatial analysis methods for creating maps and for identifying spatial relationships will be described. Course modules will cover applications in air pollution, infectious disease, built environment, and environmental justice. The course will be taught using open source software, R and its packages for spatial analysis.<\/p>\n\n\n\n

Prerequisites<\/strong><\/p>\n\n\n\n

Students are expected to have access to a computer to attend video lectures and discussions, and for completing lab exercises in R. Students should have a basic understanding of epidemiology, environmental health, environmental engineering, and\/or environmental sciences.<\/p>\n\n\n\n

Learning objectives<\/strong><\/p>\n\n\n\n

By the end of the course, students should be able to:<\/p>\n\n\n\n