An analysis of Overture Maps Foundation's open geospatial datasets, their creation process, and a technical guide for working with the data using Python and DuckDB.
Explores unsupervised methods (k-means and SKATER) for merging homogeneous supercells into larger regions for geospatial data analysis.
Explains the Supercells algorithm for generating superpixels to improve segmentation of geospatial and satellite imagery.
A data visualization analysis of daylight hours across global cities, examining the impact of Daylight Saving Time on work-life balance.
Explains spatial signatures and co-occurrence matrices for analyzing patterns in categorical raster data like land cover.
