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# Tutorial: Implement IoT spatial analytics using Azure Maps
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Tracking and capturing relevant events that occur in space and time is a common IoT scenario. For example, in fleet management, asset tracking, mobility, and smart city applications. This tutorial guides you through a solution pattern for using Azure Maps APIs. Relevant events are captured by IoT Hub, using the event subscription model provided by Event Grid.
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Tracking and capturing relevant events that occur in space and time is a common IoT scenario. Example scenarios include fleet management, asset tracking, mobility, and smart city applications. This tutorial guides you through a solution pattern for using Azure Maps APIs. Relevant events are captured by IoT Hub, using the event subscription model provided by Event Grid.
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In this tutorial you will:
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This solution demonstrates a scenario where a car rental company plans to monitor and log events for its rental cars. Often car rental companies rent out cars for a specific geographic region and need to keep track of their whereabouts while rented. Instances of a car leaving the chosen geographic region need to be logged. Logging data ensures policies, fees, and other business aspects would be handled properly.
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In our use case, the rental cars are equipped with IoT devices that send telemetry data to Azure IoT Hub on a regular basis. The telemetry includes the current location and indicates whether the car's engine is running or not. The device location schema adheres to the IoT [Plug and Play schema for geospatial data](https://github.com/Azure/IoTPlugandPlay/blob/master/Schemas/geospatial.md). The rental car's device telemetry schema looks like:
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In our use case, the rental cars are equipped with IoT devices that send telemetry data to Azure IoT Hub on a regular basis. The telemetry includes the current location and indicates whether the car's engine is running. The device location schema adheres to the IoT [Plug and Play schema for geospatial data](https://github.com/Azure/IoTPlugandPlay/blob/master/Schemas/geospatial.md). The rental car's device telemetry schema looks like:
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```JSON
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{
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</center>
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The figure below represents the geofence area highlighted in blue and rental vehicle's route as a green line.
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The following figure represents the geofence area, highlighted in blue, and the rental vehicle's route as a green line.
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### Create a resource group
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To complete the steps in this tutorial, you first need to create a resource group in the Azure portal. To create a resource group, follow the steps below:
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To complete the steps in this tutorial, you first need to create a resource group in the Azure portal. To create a resource group, do the following:
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1. Log in to the [Azure portal](https://portal.azure.com).
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