GEOG 0281
Placebased Data Analysis
Placebased Data Analysis (formerly GEOG 0139)
Who migrates from urban areas during a pandemic? How are livelihoods distributed around protected areas in Central Africa? How much does location influence the price of a house? In this course students will discover ways to answer questions like these by introducing fundamentals for generating and analyzing data about people and the places they are connected to. Students will practice constructing datasets, visualizing relationships, formulating and testing hypotheses, modeling outcomes, and conveying results. We will cover descriptive and inferential statistics, focusing on geographic applications and the unique complexities of spatial data. Through cases and problem sets, students will explore complementarities between quantitative and qualitative analysis, emphasizing critical and reflexive approaches. Labs will build proficiency with software packages like R and GeoDa. The course aims to make students more savvy consumers of published work, to produce careful analysts, and to foster a deeper appreciation for the research process. No prior experience with Statistics or Geography is required; the course is designed to introduce students to approaches broadly relevant in Geography and allied social sciences. (DED) 3 hrs. lect./3 hrs. lab
Who migrates from urban areas during a pandemic? How are livelihoods distributed around protected areas in Central Africa? How much does location influence the price of a house? In this course students will discover ways to answer questions like these by introducing fundamentals for generating and analyzing data about people and the places they are connected to. Students will practice constructing datasets, visualizing relationships, formulating and testing hypotheses, modeling outcomes, and conveying results. We will cover descriptive and inferential statistics, focusing on geographic applications and the unique complexities of spatial data. Through cases and problem sets, students will explore complementarities between quantitative and qualitative analysis, emphasizing critical and reflexive approaches. Labs will build proficiency with software packages like R and GeoDa. The course aims to make students more savvy consumers of published work, to produce careful analysts, and to foster a deeper appreciation for the research process. No prior experience with Statistics or Geography is required; the course is designed to introduce students to approaches broadly relevant in Geography and allied social sciences. (DED) 3 hrs. lect./3 hrs. lab