SedonaContext session as the rest of your WherobotsDB code, in a notebook or a Job Run. For the other WherobotsDB modules, see WherobotsDB modules.
Spatial Statistics
Analyze patterns, clusters, and relationships in your spatial data. DBSCAN, Getis-Ord Gi*, and Local Outlier Factor are part of the GeoStats module.DBSCAN Clustering
Identify clusters of spatial points using density-based clustering. DBSCAN finds core points with enough neighbors within a distance threshold and groups connected points into clusters.
Hotspot Detection
Find statistically significant hotspots and coldspots with the Getis-Ord Gi* statistic. Identify areas with unusually high or low concentrations of values.
Outlier Detection
Detect spatial outliers using Local Outlier Factor (LOF). Identify points that are anomalous compared to their spatial neighbors.
K-Nearest Neighbors
Find the K nearest neighbors for spatial joins. Efficiently match points to their closest neighbors in another dataset.
Map Matching
Use the map matching module to align GPS traces with a road network.GPS Map Matching
Match GPS traces to road networks for accurate routing analysis. Clean noisy GPS data by snapping points to the most likely road segments.