Dashboards
The Dashboards module provides Aurora?s Dashboard Builder for creating interactive analytical views that combine maps, charts, tables, metrics, and spatial analysis.
Dashboards link datasets, maps, and analytics into a unified workspace for exploration and decision support.
Overview
An Aurora dashboard is composed of configurable widgets arranged in a grid layout.
Widgets connect to Aurora datasets and maps and update dynamically in response to filters, selections, and spatial interactions.
Dashboards enable:
Data exploration
Spatial analysis
Statistical summaries
Map-chart interaction
Comparative views
Monitoring and reporting
Dashboard Builder
Dashboards are created and edited in the Dashboard Builder.
The Builder provides:
Widget palette
Drag-and-drop layout
Dataset selection
Configuration panels
Interactive filtering
Save and publish controls
Widgets can be resized and arranged to create analytical layouts.
Widget Types
Aurora dashboards support multiple widget types.
Map
Embeds an interactive Aurora map.
Maps in dashboards:
Display dataset layers
Respond to filters
Drive linked charts
Support selection and zoom
Provide spatial context
Chart
Displays dataset charts such as:
Bar
Line
Pie
Charts update based on filters and map selections.
Table
Displays dataset attributes in tabular form.
Tables support:
Sorting
Filtering
Selection
Group summaries
Counter
Displays aggregated metrics from a dataset.
Examples:
Count
Sum
Average
Min / Max
Counters provide quick KPI-style indicators.
Filters
Adds dataset filter controls to the dashboard.
Filters allow users to:
Select attribute values
Restrict features
Drive all linked widgets
Filters synchronize maps, charts, and tables.
Vector Analysis
Provides statistical summaries for vector datasets.
Vector analysis includes:
Count
Nulls
Min / Max
Sum
Mean
Median
Standard deviation
Distinct values
These summaries update with filters and selections.
Raster Analysis
Provides statistical summaries for raster datasets.
Raster analysis widgets calculate statistics for raster values within the current map or selection.
Hot Spot
Displays hotspot analysis summary statistics derived from spatial clustering analysis.
Outlier
Displays outlier analysis summary statistics identifying anomalous spatial features.
HTML
Adds formatted HTML content to dashboards.
HTML widgets support:
Text
Images
Links
Descriptive panels
Instructions
Interactions
Aurora dashboards support linked interactions across widgets.
Interactions include:
Filter ? updates all widgets
Map selection ? updates charts and tables
Chart selection ? filters map
Widget selection ? updates summaries
Spatial radius / selection ? updates analysis
This enables coordinated spatial and statistical exploration.
Layout
Dashboards use a flexible grid layout.
Widgets can be:
Added
Moved
Resized
Removed
This allows custom analytical arrangements.
Relationship to Maps
Maps act as spatial anchors within dashboards.
Maps can:
Drive filters
Provide selection context
Define analysis extent
Synchronize with charts
Highlight features
Dashboards reference Aurora maps and datasets directly.
Relationship to Datasets
All dashboard widgets connect to Aurora datasets.
Datasets may originate from:
Imports
Pipelines
Views
Clip / Dissolve operations
GeoSync
Dataset updates automatically propagate to dashboards.
Typical Uses
Aurora dashboards are used for:
Spatial data analysis
Monitoring indicators
Comparing groups
Exploring distributions
Identifying hotspots and outliers
Reporting spatial statistics
Operational monitoring
Examples:
Enrollment by district
Assets by region
Population by category
Service coverage
Infrastructure metrics
Publishing
Dashboards can be saved and shared within Aurora.
They can be:
Embedded in apps
Linked from maps
Used in reports
Shared with users
Relationship to Other Modules
Dashboards integrate with:
Maps ? spatial context and selection
Views ? filtered datasets
Pipelines ? updated data sources
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