Processing and analyzing geospatial data
Being able to support geospatial data and functions is a key requirement in most IoT scenarios. It allows you to determine proximity from one device to another, store and process vector and raster geographic information system (GIS) data to produce rich visualizations on top of geospatial data, determine device routes, and much more. This blueprint builds on the IoT analytics scenario to expand support for geospatial data.
Note
A useful article to learn more about vector data and raster data in the context of geographic information systems can be found at https://101gis.com/vector-data-vs-raster-data.
Here are some of the usage scenarios for this blueprint:
- Building rich map visualizations: Raster and vector data allows you to digitally store representations of the real world in the form of geometries and continuous blocks of pixels that represent vast areas, such as bodies of water, fields, and forests. You can combine raster...