Learn how to create dynamic, AI-powered heatmaps in WPF using Syncfusion SfHeatMap to automatically highlight critical zones for public health insights.
Analyzing large datasets across multiple dimensions can be overwhelming. Heatmaps transform complex data matrices into intuitive color-coded visualizations, making patterns and anomalies immediately apparent. With AI-powered analysis, critical areas are automatically identified and highlighted, enabling faster decision-making and proactive responses.
Real-time monitoring of disease outbreaks, public health trends, and geographical patterns requires intelligent automation. This dashboard leverages AI-powered analytics to automatically detect the most and least affected regions, calculate year-over-year trends, and provide actionable insights for healthcare authorities and policymakers.
This powerful heatmap control is specifically designed for WPF applications and delivers high-performance data visualization with rich customization options. It supports multi-dimensional data binding, items mapping, dynamic color mapping, making it ideal for tracking disease prevalence, case distributions, and epidemiological trends.
- TableMapping Support: Easily bind complex data structures with state names and yearly case counts
- Custom Color Gradients: Define multi-level color schemes to represent severity ranges
- Automatic Legend Generation: Built-in visual indicators for data interpretation
- Cell Customization: Configure cell appearance, borders, and text formatting
- Performance Optimized: Handles large datasets with smooth rendering
This demo showcases an AI-enhanced rabies case monitoring system built using Syncfusion WPF SfHeatMap. It provides:
- Real-time Disease Surveillance: Visualize rabies case distribution across multiple states over 8 years (2018-2025)
- AI-Driven Trend Analysis: Automatically identify most and least affected states with percentage change calculations
- Interactive Heatmap Visualization: Color-coded matrix showing case intensity with year-over-year progression
- Smart Alerts: Dynamic indicators showing whether cases are increasing (red ↑) or decreasing (green ↓)
- Predictive Analytics: Calculate percentage changes between last 2 years for proactive planning
- Geographical Insights: State-level breakdown enabling targeted intervention strategies
If you are facing a "Path too long" exception when building this example project, close Visual Studio and rename the repository to a shorter name before building the project.
For a detailed step-by-step guide with relevant code snippets, refer to the AI Assisted Heatmap blog for Highlighting Critical Areas Automatically in WPF.