What Customers Are Saying

Visit here often (or even subscribe to the blog) in order to catch tidbits of knowledge from our geo-spatial and software experts.

Friday
Jun102011

New Heat Map Creator app makes heat maps easy

Bing Maps offers the capability to visualize data in various manners. Viewers are, of course, always looking for ways to better understand their data. Showing data on a map alone—customer locations for monthly sales, for example—provides quick and easy insights. However, it doesn’t allow you to see trends, like volume of sales. Advanced map-based visualizations like thematic and heat maps allow for greater extrapolation of such data. The focus of this blog is on heat maps, specifically a new heat map app that we recently released.

Full blog post is available here... http://www.bing.com/community/site_blogs/b/maps/archive/2011/06/08/new-heat-map-creator-app-makes-heat-maps-easy.aspx

Friday
Jun032011

DataMarket Mapper app provides quick, map-based visualization of DataMarket data

The Windows Azure DataMarket is a growing repository of data sources and services mediated by Microsoft. It allows customers to purchase vector and tiled datasets using Open Data Protocol (OData) specifications. Available datasets include weather, crime, demographics, parcels, plus many other layers. The OData working group has been looking at full spatial support for this specification; in the meantime, DataMarket datasets can still be used with geospatial applications and Bing Maps...

Full blog post is avalible here... http://www.bing.com/community/site_blogs/b/maps/archive/2011/06/02/datamarket-mapper-app-provides-quick-map-based-visualization-of-datamarket-data.aspx

Thursday
Apr282011

Dev Tip of the Week: Using Bing Maps with SQL Server spatial

SQL Server 2008 and SQL Azure databases support spatial data types, including spatial data indexes and queries. My company, OnTerra, has developed a tool we call AJAX Map DataConnector that helps make developing spatial maps with SQL Server 2008 and SQL Azure on Bing platforms quite simple. DataConnector’s open-source framework allows you to get started quickly, reuse existing code/best practices, and focus on your application requirements and data.

Full blog article is available here...

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