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Geospatial

From January 25th to 29th, we hosted Geo4LibCamp 2016 at the Hartley Conference Center and Branner Library. Inspired by the success of LDCX 2015, this inaugural event was planned as a hands-on meeting to bring together those building digital repository and associated services for geospatial data. We wanted to focus on sharing best practices, solving common problems, and addressing technical issues.

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.

Three new digital collections are now available in SearchWorks. These collections take advantage of SearchWorks' ability to provide users with rich discovery and access capabilities for finding and working with digital collection content.

Stanford Geospatial Center Teaching Data

Abstract: These items are intended for use in Stanford Geospatial Center teaching materials.

Collection contact: Amy Hodge

In response to Friday’s powerful 7.8-magnitude earthquake in Nepal, Stanford volunteer “crisis mappers” are working with Humanitarian OpenStreetMap to assist in disaster relief by mapping Nepal’s road networks, buildings, and residential areas.

Anyone with a laptop and spare time can help responders on the ground. The Stanford Geospatial Center housed in the Branner Earth Sciences Library will be hosting ongoing Introductory Relief Mapping sessions all week to help train people to use OpenStreetMap, an open source and open data sharing tool adding information to relief effort maps. Drop-in volunteers are encouraged to join all day from 9am-9pm, Monday-Friday.

The first Introductory Relief Mapping session will be held Monday, April 17 from 6-7pm at the Branner Earth Sciences Library Teaching Corner, on the 2nd floor of the Mitchell Earth Science Building.

Salmon data in EarthWorks

Stanford University Libraries is happy to introduce EarthWorks, our new geospatial data discovery application. EarthWorks is a discovery tool for geospatial (a.k.a. GIS) data. It allows users to search and browse the GIS collections owned by Stanford University Libraries, as well as data collections from many other institutions. Data can be searched spatially, by manipulating a map; by keyword search; by selecting search limiting facets (e.g., limit to a given format type); or by combining these options.

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