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Scanning Maps: Quantifying Errors to Inform Future Image Capture Efforts

Poster presented at the LCDP Luminary Class, June 2012. In 2009, Stanford began an effort to scan its maps. Scanning large format items such as maps create a multitude of challenges. One of these challenges is to capture the map with specifications that meet all known repurposing needs. A prominent repurposing need is to ensure that the map can be consumed in a Geographic Information System (GIS). A team of Stanford University Library staff consisting of Patricia Carbajales, G. Salim Mohammed, Matt Pearson and Renzo Sanchez-Silva (noted here in alpha order) along with student assistants, conducted a detailed study of a Russian Topographic scanned map where details were visually inspected and checked for scanning errors.


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