Big Data Analysis
Advanced Methods | Big Data Analysis
PhD Workshop | Spatial Data Analysis
This workshop introduces spatial data analysis and its applications in quantitative social science research and is intended for PhD researchers and postdocs. The first part will cover some of the foundations of spatial data analysis including basic concepts and definitions but also common methodological challenges (e.g., MAUP, aggregation problems). The remainder of the workshop then focuses on practical challenges for using spatial data, including integration of different spatial data types, the proper handling of event data and their deduplication. And in the last part we cover a number of more recent techniques for quantitative inference in highly disaggregated spatial settings and discuss associated best practices. Many of the examples are drawn from research on sub- national dynamics of conflict where spatial data has been extensively used in recent years but they translate to any other comparable empirical setting. Each of the sections of the workshop consists of a condensed lecture-style introduction followed by a practical session in R. This is an applied workshop and you are encouraged to bring your own projects using spatial data and tackle them as part of the workshop. For those requiring credits from the workshop, there will be the option to hand in a small final assignment that will be graded on a pass/fail basis.