Overview
A choropleth map is a thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map, such as population density or per-capita income.
For each data layer, certain attributes can be set:
- Label: A label identifying the layer will appear in the legend.
- Visibility zoom range: Minimum and maximum zoom range in which the layer is visible. Outside the range, the layer becomes invisible.
- Initial visibility: Even if a layer is in the visible range, it can be set to hidden by default. The user can set it to visible when needed.
- Category: Layers can be grouped into categories.
- Geometry rendering types: Usually, spatial databases have three kinds of geometric types: point, line and polygon. However, due to the nature of the data it can sometimes be more useful to draw geometries in a special format.
- Heat map: Suitable for mapping density.
Results
See all your data in real time. Offer customers fast, smart experiences every time.
It’s hard to be customer-centric or product-centric if your data isn’t. With Axional Geospatial, you can move from good intentions to great customer experiences with full, real-time access to the data that matters most, when and where you need it.
Related Projects
Clustering Display
Some applications are required to display a large number of locations. Google Maps mashups can suffer performance problems when trying to display a large number of markers at any one time.
Heat Maps
A heat map is a data visualization technique that shows the magnitude of a phenomenon as two-dimensional color. It is one of the most useful and powerful data analysis tools available in business intelligence.
Data Analysis
Axional Geospatial can map multiple layers of independent data sources. For example, a company might be interested in cross-referencing different data on a map, such as socioeconomic data of a country.
