Microsoft Mapping ― Geospatial Development in Windows 10 With Bing Maps and C#

This 200 page revised edition of Microsoft Mapping includes the latest details about SQL Server 2014 and the new 3D and Streetside-capable map control for Windows 10 applications. It contains updated chapters on Microsoft Azure and Power Map for Excel plus a new chapter on Bing Maps for Universal Windows. The book tells a story, from beginning to end, of planning and deploying a single geospatial application built using Microsoft technologies from end-to-end.

Readers are expected to have basic familiarity with the fundamentals of developing for Microsoft platforms (some understanding of basic SQL, C#, .NET, and WCF); as readers work through the book they will build on their existing skills so that they will be able to deploy geospatial applications for social networking, data collection, enterprise management, or other purposes.

Microsoft Mapping Second Edition provides:

• The only full book for developers who want to create location-aware apps using the Windows 10 platform
• Fully working code samples that show the concepts in use with ASP.NET 4.5 and Windows 10.
• Complete solutions to the common problems of geospatial development: visualization, hosting and localization of services are all explained.
• Demonstrates how the Bing Maps API can be connected to the Azure Cloud in order to provide a stand-alone mapping bolt-on with little additional up-front cost and great reliability.
• Unique

coverage of how the Bing Maps API can be implanted within Windows and Windows Phone applications for Windows 10 applications to provide a robust service tailored to the capabilities of each device.

Coverage of the new Windows 10 Bing Maps control, which supports viewing Streetside and aerial data.

Carmen Au is a Scientist at Microsoft and works on building 3D maps. Before joining Microsoft, she worked in a research lab developing visual navigation mobile device applications. Her work in map navigation has been published in various academic conferences and journals, and has been patented and featured in New Scientist magazine and on the CBS News website. Carmen received her B.Eng, M.Eng, and Ph.D. in Computer Engineering at McGill University, her doctoral work in Computer Vision and Augmented Reality.