In this study, I applied spatial regression to analyze the factors influencing school dropout rates in North Sumatra using R studio and ArcGIS (for enhancing map visualization)
- The spatial weight matrices used are queen, rook, and bishop.
- The spatial regression approaches employed are SAR and SEM.
Secondary data collected from Badan Pusat Statistik and Geospatial Indonesia containing 33 cities in North Sumatra
The best model used in this case is the spatial error model with queen contiguity spatial weight matrices
You are free to use this code for study purposes but don't forget to mention my GitHub page :)