Started with the goal of developing an undergrad geoinformatics/spatial data science summer course and ended up as a reference repository for spatial mapping and raster data manipulation and processing.
Merging household-level demographics with neighborhood amenity raster files (heterogenous grid-cell resolutions), for e.g., tree canopy, land use, open space, distance to nearest water body, etc.
Trying out different mappings with using Google API
Trying out different raster files of soil quality, precipitation, temperature, agricultural production, yield, harvested area.
Trying out spatial regression models using Elhorst (2010) model sequence.
Fully Endogenized Finite Mixture Modeling with Columbus housing data for two submarkets + mapping of submarkets
Fully Endogenized Finite Mixture Modeling with Columbus housing data for three submarkets in Columbus, OH
Fully Endogenized Finite Mixture Modeling with Columbus housing data for four submarkets in Columbus, OH