Live Analysis
Live Analysis provides real-time spatial pattern analysis directly from PostGIS data sources.
Unlike standard Aurora analysis, which operates on Aurora datasets within maps, Live Analysis connects directly to a PostGIS database and computes results dynamically on page load.
Overview
Live Analysis enables continuously updated spatial pattern detection without data ingestion.
It supports:
Hot Spot analysis
Outlier detection
Kernel Density (KDE)
Results are computed directly from the connected PostGIS source each time the page or report loads.
This allows dashboards and reports to reflect the latest database state without pipelines or dataset refresh.
Architecture
Live Analysis operates as:
Direct PostGIS connection
Query-time spatial computation
Map and dashboard rendering
Optional snapshot storage
Data is never copied into Aurora datasets unless snapshots are created.
Live Spatial Pattern Tools
Aurora provides three Live Spatial Pattern tools.
Hot Spot Analysis
Identifies statistically significant spatial clusters of high and low values.
Hot Spot analysis:
Computes Gi* z-scores and p-values
Classifies hotspot intensity levels
Uses current spatial extent and filters
Supports snapshot storage
Integrates with map and dashboard styling
Hot Spot outputs can be viewed live or stored for later use.
Outlier Analysis
Detects spatial anomalies such as high values surrounded by low values.
Outlier analysis:
Identifies spatial outliers and clusters
Computes local spatial statistics
Generates live maps and summaries
Supports dashboard reports
Compatible with map styling
Outlier results update automatically from PostGIS.
Kernel Density (KDE)
Generates a continuous density surface representing spatial intensity.
KDE:
Computes density from point events
Uses configurable bandwidth
Uses current filters and extent
Produces live raster surfaces
Supports dashboard reports
Density surfaces reflect current database state.
Live Execution Model
Live Analysis runs automatically on page load or refresh.
Execution uses:
Current PostGIS data
Active filters
Map extent (if applicable)
Analysis parameters
No Aurora dataset creation or pipeline execution is required.
Snapshots and Reports
Live Analysis results can optionally be saved as snapshots.
Snapshots allow:
Historical comparison
Stable reporting
Dashboard reuse
Map styling persistence
Snapshots convert live results into stored Aurora content.
Relationship to Maps
Live Analysis integrates with Aurora maps for visualization.
Maps provide:
Spatial context
Extent filtering
Styling
Layer display
However, analysis computation occurs in PostGIS, not the map engine.
Relationship to Dashboards
Live Analysis supports dashboards with continuously updated spatial statistics.
Dashboards can display:
Live hotspot maps
Outlier summaries
KDE surfaces
Pattern reports
This enables real-time spatial monitoring.
Relationship to Pipelines
Live Analysis does not use Pipelines.
Pipelines ingest data into Aurora datasets.
Live Analysis reads directly from PostGIS and computes results dynamically.
Typical Uses
Live Analysis is suited for:
Real-time incident data
Monitoring systems
Operational dashboards
Streaming or frequently updated data
Event density tracking
Dynamic risk analysis
Examples:
Crime incidents
Sensor events
Service calls
Asset failures
Traffic events
Field reports