![Clustering Display 1 Axional_Clustering_Display](https://sp-ao.shortpixel.ai/client/q_lossless,ret_img,w_1024/https://axionalprojects.deister.net/wp-content/uploads/2019/09/Axional_Clustering_Display.jpg)
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 2 axional-geospatial_heat_maps](https://sp-ao.shortpixel.ai/client/q_lossless,ret_img,w_1024/https://axionalprojects.deister.net/wp-content/uploads/2019/09/axional-geospatial_heat_maps.jpg)
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.
![Thematic Mapping 3 Axional_Thematic-Mapping](https://sp-ao.shortpixel.ai/client/q_lossless,ret_img,w_1024/https://axionalprojects.deister.net/wp-content/uploads/2019/09/Axional_Thematic-Mapping.jpg)
Thematic Mapping
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.
![Data Analysis 4 Axional_Data_Analysis](https://sp-ao.shortpixel.ai/client/q_lossless,ret_img,w_1024/https://axionalprojects.deister.net/wp-content/uploads/2019/09/Axional_Data_Analysis.jpg)
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.