Geospatial Blog

The National Geospatial Advisory Committee (NGAC) met outside Shepherdstown, West Virginia at the National Conservation Training Center on September 1-2, 2015.  The full report of the meeting including the Powerpoints from the subcommittees and lightning sessions are available on the NGAC Website.  The NGAC is a Federal Advisory Committee that reports to the Federal Geographic Data Committee (FGDC).  Our role is to provide advice and recommendations related to the national geospatial program and the development of the National Spatial Data Infrastructure. 

World Railroads, 1:10 million (2012), Natural Earth

You can now find and access Natural Earth geospatial data directly from EarthWorks.

The National Geospatial Advisory Committee (NGAC) met in Washington, DC on June 9-10, 2015.  The full report of the meeting including the powerpoints from the subcommittees and lightning sessions are available on the NGAC Website.  The NGAC is a Federal Advisory Committee that reports to the Federal Geographic Data Committee (FGDC).  Our role is to provide advice and recommendations related to the national geospatial program and the development of the National Spatial Data Infrastructure.

Sometimes the very data we map can get in the way of our understanding the phenomena we are visualizing.

In the case of bird sightings for the Rose-Breasted Grosbeak, the typical approach to adding points over a map might have shown us where in time and space the birds were while on their annual migration, but the result would have also obscured the terrain over which they fly.

Using a creative visualization method of subtractive rather than additive symbology in mapping observations, John Nelson of IDV Solutions found a great way to reveal rather than hide the landscape these birds travel through. Instead of adding points for observations over a detailed map background, John used a masking technique to reveal the underlying map showing us the world the birds see as they migrate while still revealing the overall patterns in the data.