![]() Whenever searching for certain types of data stored in the platform, one of the first things you may be interested in is where that data is available geographically.įor HERETiled layers, the Data Inspector provides a coverage map (as a green overlay on top of the base map) that shows the geographical distribution of layer data on a global or local sale, depending on a zoom level. Create your own application with the contents of your catalogs.Inspect the data while developing your platform pipeline applications.Inspect the data that is available in the platform.Discover the coverage of data that is stored in the platform.The Data Inspector Library allows you to do the following: ![]() ![]() For more information, see the use cases in the chapter below. The Data Inspector Library lets you create a customized Data Inspector tool for special cases that you might have. You can even develop a rendering plugin there. For most cases, the portal application is all you need. The Data Inspector is available as a component integrated in the HERE platform portal as well as in form of a library. Traffic flow data ( HERE Real-Time Traffic) visualized with the dedicated rendering plugin: Figure 8. Vehicle sensor data ( Sensor Data Ingestion Interface (SDII)) visualized with the dedicated rendering engine that requires no specific rendering plugin: Figure 7. Several layers from the HERE Map Content catalog ( Cartography, Roads - Topology & Geometry, and Building Footprints) visualized out of the box with the special rendering engine or a dedicated rendering plugin: Figure 6. GeoJSON data with an altitude property in meters above the ground, like building height, HD lanes elevation, ADAS elevation, or 5G pole heights. Outlines of Berlin districts partitioned by the geographic center of each polygon GeoJSON data visualized with the dedicated GeoJSON rendering engine: Figure 4. Multi-carriageways and motorway interchanges with ramps grouped to enable creation of a basic representation Simulated sensor data in SENSORIS format with speed sign observations, road hazard events, and traffic condition events Figure 3. Protobuf-encoded data visualized with custom GeoJSON rendering plugins: Figure 1. The Data Inspector allows visualizing the following types of data: You can use this functionality to visually debug your pipelines by rendering the pipeline output in the portal and having it overlaid with the input layer(s). Not only you can inspect different layers, but also a few versions of the same layer simultaneously. You can also inspect up to 4 datasets at the same time - either layers from the platform or local partitions. GeoJSON data translated with the JS rendering plugin that you can immediately visualize in an external application.Data decoded with the Protobuf schema that is attached to a layer (in JSON format). NPM HTML INSPECTOR DOWNLOADMoreover, the Data Inspector allows you to download data for a selected partition for further analysis in these formats: In fact, a number of platform data sets already have a schema and plugin attached so that you can enjoy automatic decoding and visualization for these data layers out of the box. ![]() This way, they can benefit from the visualization that you've created. So, when you share your data with someone, the schema and the plugin are implicitly shared with it. The platform lets you attach a GeoJSON plugin to your schema. In case the data is already formatted as GeoJSON, it renders directly. ![]() It lets you view the data visually on a map using a GeoJSON plugin to transform the data and a GeoJSON rendering engine to visualize it. It offers visual clues on where your data is located and how it is distributed geographically. The point-and-click UI that lets you interact with the data. This interface is called a GeoJSON rendering plugin and it transforms your Protobuf-encoded data to GeoJSON. One that lets you programmatically create a visualization for Protobuf-encoded data by defining which elements of your data shall be presented and in what way. The Data Inspector essentially consists of these two interfaces: Inspecting data on the HERE platform – structurally as well as visually – can help you understand the data’s value for your use case or can help you debug the data that you produce on the platform yourself. The Data Inspector addresses developers, data scientists, and business analysts.
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