Aino.world new features
1.
3d visualization features
3D visualization from height data
Use a dataset’s height parameter to extrude features and visualize them in 3D.
Column-based gradient coloring
Map values from any data column to a color gradient for visual comparison across features.
2.
More control over every export
Fine-tune map components, keep consistent views across multiple exports, and export complex maps without manually separating layers.
Custom map components
Add a legend and compass to your export, choose the legend’s position and level of detail, and select a scale bar in kilometres or feet.
Reusable export settings
Save export settings—including map position, zoom, bearing, and pitch—to keep multiple maps or layers consistent across exports.
Export by layers
Export all layers from a map at once as separate files, so complex maps can be prepared in a single export and delivered already organized by layer.
3.
More control over how your data looks
New styling options make it easier to adapt maps to different visual languages, highlight places and services, and fine-tune how data is represented.
Dashed lines
Add dashed line styles and adjust their appearance to create clearer distinctions between different types of boundaries, routes, and other linear features.
Maki icon library
Use the Maki icon set to represent points of interest, urban services, landmarks, and other locations with familiar map symbols.
More icon controls
Fine-tune icon size, color, and other styling properties to better match the visual hierarchy of your map.
Labels and gradient palettes
Display labels directly on the map and choose from a wider range of color palettes when visualizing values with gradients.
Updated dataset styling
We’ve also redesigned the dataset styling interface to make color, icon, line, and other display settings easier to find, understand, and adjust.
4.
Direct CAD file import
Import DXF/CAD files directly, with automatic CRS detection and reprojection. Support for INSERT and HATCH entities, alongside GeoJSON, Shapefile, KML, and GPX, means you can bring source files into your workspace without manual conversion or coordinate system setup
5.
Reusable analysis flows
Set up an analysis once, then reuse the same methodology across as many locations as you need.
Create an analysis workflow with AI
Describe the analysis you want to run, and the AI agent helps define the methodology—from the area of analysis and data sources to the calculations involved.
Reuse the same methodology across locations
Run the workflow repeatedly around different points while keeping the same parameters, such as a 500 m radius, selected datasets, and analysis criteria.
Turn results into maps
Once your analyses are complete, use the resulting data to create and style maps for easy comparison and visualization.