Gis & Spatial Analysis-soc Sci · Quantitative Methods In The Social Sciences
Different visualization techniques for spatial data, GeoDa, GIS in Python
The course covered a number of ways to perform spatial analysis, including cluster analysis, locally defined regressions, and a number of visualizations. Additionally the course gave a basic overview of python and R.
Valuable skills on how to use software and how to approach spatial data quesitons
This course has taught me many new skills with geographical analysis in several different programs and techniques.
GIS concepts and methods, using QGIS, Geoda, and python to make maps.
How to use QGIS, spatial statistics, geospatial data in R and Python.
I learned QGIS, GeoDA, map visualizations in Python/R, Shiny and Leaflet, as well as important concepts in spatial statistics such as standard deviational ellipses, the Modifiable Areal Unit Problem, and spatial autoregression.
I learned a lot in this course -- probably the most of any QMSS course I've taken thus far. Mike delivers content very well,
Learned how to use QGIS & GeoDa to some degree, and learned how to navigate with R and Python through some spatial regressions
This course was incredibly helpful. I got a good grip of basic GIS but also the 'applied' skills to do it. The term is on geo-spatial analyses and techniques, focused on social science research