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Nadia edited this page Nov 14, 2023
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Welcome to Insights Engine Handbook. In this guide you'll learn how to make most of our platform.
You can find the table of contents in the panel to the right. Whether you're looking for interactive visual analytics or interested in interaction via API, you can find the desired topics there. If you want to know more about the platform and its capabilities, check Insights Engine features below.
- Data Transformation (not implemented yet): Convert various spatial data formats (raster, points, polygons, etc.) into H3 hexagon grid for easy analysis and visualization
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Data Visualization: Create univariate, bivariate, and multivariate (multicriteria analysis) layers for interactive and insightful map visualizations.
- Univariate layers: Visualize single parameter distribution (e.g., population density, temperature range).
- Bivariate layers: Explore the interaction of two parameters in a specific location (e.g., population density and distance to a fire station).
- Multivariate (multicriteria analysis) layers: Analyze multiple parameters to determine optimal locations for various purposes (e.g., solar energy development, landslide risk assessment).
- Correlation analysis: Correlation between spatial datasets can be useful in a wide range of applications, allowing to identify relationships and patterns that may not be apparent from visual inspection of the data alone.
- Area Analytics: Generate statistics for custom-defined areas (administrative boundary, postal zone, isochrone, or any geometry). Metrics include sum, maximum, average, and total population (or any other parameter) count within the area.
- Advanced Analytics (not implemented yet): Compare differences between selected areas and reference zones, cluster data to identify areas with specific characteristics, and calculate correlations between datasets.