In this video, walk through the steps for creating and visualizing indoor maps, querying map data and integrating it with IoT.

The Azure Maps Creator service enables customers to upload their private maps, floorplans, spaces and asset information to manage, monitor, and track their IoT assets within spaces like offices, malls, and airports, with extensibility to support other private map scenarios considered private in nature all within a customer’s control. 

Azure Maps Weather services (https://aka.ms/iotshow/AzureMapsWeatherService) add a new layer of real-time, location-aware information to Azure Maps portfolio of native Azure geospatial services.

Bringing Weather Services to Azure Maps means IoT developers have a simple means of integrating highly dynamic, real-time, historic and forecasted weather data and visualizations into their applications through their existing Azure subscriptions.

The Weather Service APIs for Azure Maps are brought to life in partnership with Accuweather. Weather is a critical factor for many scenarios—whether it’s to ensure the safety of mobile assets, model and forecast need for renewable energy, or predict risk and assess claims in the insurance industry.

Outi demonstrates how a few of these APIs can be used to enhance data visualizations with radar and infrared map overlays with an Azure Maps Web SDK, and how call APIs to make weather-based decisions with current and forecast based weather, as well as weather along route.

In this episode of the Azure Government video series, Steve Michelotti talks with Chris Pendleton, Principal PM Manager on the Azure Maps team, about Azure Maps in Azure Government.

Learn what makes Azure Maps different from other mapping solutions available and how Azure Maps provides a truly unified experience for a mapping solution including route efficiency, traffic management, and geofencing.

For government customers, Azure Maps provides compliance with Azure Security, Azure Active Directory Tenancy, The General Data Protection Regulation (GDPR), accessibility, and globalization just to name a few.

You’ll also see several demos running in Azure Government (http://azuremapscodesamples.azurewebsites.us/) including heat maps and weather data, all of which show off the stunning visuals that are unmatched by any other mapping solution available today! 

Azure Maps Mobility Services make the life of an IoT developer easier and they contribute towards a great end user experience.

Watch this episode to see Outi Nyman, Senior Program Manager, Azure Maps, step through the APIs for these services.

Designed to support developers creating smart city applications that move people and things from one place to another, they help create applications that decrease traffic congestion and increase air quality.

The Mobility Service APIs for Azure Maps are brought to life in partnership with Moovit, Inc. Moovit combines information from public transit operators and authorities with live information from its user community to offer a real-time picture of public transit services, including stops, route information, and travel time estimations.

Geofencing has many practical applications. A geofence is a virtual boundary defining an area on a map. Using tools in Azure Maps, Jim demos how to test if a coordinate is inside or outside the Microsoft Redmond campus boundary.

It can be used to send an alert if an expensive piece of machinery leaves a construction site unexpectedly or to send a warning if a worker enters an unsafe location within a factory.

Jim Bennett shows us how to code geofencing applications with Visual Studio, Python, and Azure Maps.

Jim explains why and how to manage a buffer around your geofence boundary. (Hint: GPS is not that accurate!) He also demos how to set a notification using a web hook and an Azure Logic App when a person or item enters or leaves a geofence area.

Next steps:

Step through the tutorial: Set up a geofence by using Azure Maps

Visit Jim’s blog on geofencing: are you where you should be?

If you have large data sets that seem too big to map, then watch this IoT show to learn how to cluster data in Azure Maps so your users can rapidly extract insights from very large data sets.

Ricky Brundritt, Principal Technical Program Manager, Azure Maps, takes you on a historical journey from grid-based clustering to radius-based clustering. You’ll learn how the power of the open source community has contributed to the supercluster library which Azure Maps leverages extensively. Watch Ricky demo and step through Azure Maps code for clustering using large data sets of shipwrecks and earthquakes. Learn how to use cluster aggregates to perform calculations based on properties of the children of each cluster. Ricky wraps up with a demo visualizing clustered map data in the form of pie charts—again, to enable your users to extract insights quickly.

Access demo source code here: https://aka.ms/AzureMapsSamples

Learn how to use Azure Maps (aka.ms/MapsTechCommunity) to analyze a catchment area around a retail store. ShiSh

Shridhar, Principal PM in the Azure IoT Team , who spent 15 years on the Microsoft Industry Retail team, will demo how to build a catchment analysis for a café in downtown Seattle.

Learn how Azure Maps can pull in data on locations, competitors, traffic, and public transit through Microsoft partnerships with TomTom and Moovit.

Azure Maps also ingests data from any data provider including companies that offer human mobility data.

Watch the video below to see how a catchment analysis can help a retailer analyze business disruptors, decide where best to open a store, or identify opportunities for expanding business.

Related Resources

Ricky Brundritt, PM in the Azure Maps team, walks Olivier through data driven styling with Azure Maps. Data driven styling allows you to dynamically style layers at render time on the GPU using properties on your data. This provides huge performance benefits and allows large datasets to be rendered on the map. Data driven style expressions can greatly reduce the amount of code you would normally need to write and define this type of business logic using if-statements and monitoring map events.

Related links:

In this video, learn about the heat map and image layer visualizations in side of Azure Maps. Heat maps are used to represent the density of data using a range of colors. They are often used to show the data “hot spots” on a map and are great to help understand data. The heat map layer also supports weighted data points to help bring the most relevant information to the surface.

The image layer allows you to overlay georeferenced images on top of the map so that they move and scale as you pan and zoom the map. This is great for building floor plans, overlaying old maps, or imagery from a drone.

Related Links: