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
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.
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.
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.
