Geospatial

Walkthroughs of common operations on geospatial data.

📄️ Buffer Analysis

Buffer analysis is a geospatial technique used to extract meaningful insights from location-based data. It helps determine which objects fall within a certain distance of Areas of Interest (AOIs) and account for possible inaccuracies in GPS data. This technique has various applications such as visit attribution and proximity analysis.

📄️ Point in polygon

Point in polygon operations ask whether a given set of points in a map falls within a polygon. This technique is commonly used to enrich data from one dataset with information from another.

📄️ Raster to H3

Transforming raster data to the H3 grid system is a powerful technique that offers significant advantages in geospatial data analysis and processing. This conversion process uses DuckDB to aggregate numpy arrays by H3 indices. It opens up new possibilities for efficient raster analysis.

📄️ Zonal Stats

Zonal statistics calculates aggregate statistics (e.g., mean, sum, maximum) of the pixel values of a raster that fall within areas defined by a Polygon dataset. The method has diverse applications such as determining vegetation health in an agricultural field, assessing surface water availability, or approximating building heights from DSM rasters.