Transcript EMu Spatial Technologies

KE EMu Spatial Technologies
Turning information into knowledge
Collections Management
KE EMu Spatial Technologies
2 September 2005
KE EMu Object Locator
 Plot internal locations of objects on building
floor plans
 Zoom & pan functionality
 3-dimensional view capabilities
 Drill down into plotted points
Collections Management
KE EMu Spatial Technologies
Collections Management
KE EMu Spatial Technologies
2 September 2005
Some Uses for KE EMu Object Locator
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Finding objects in the museum
Relocating objects
Disaster recovery planning
Self-guided tours
Collections Management
KE EMu Spatial Technologies
2 September 2005
KE EMu Web Maps
 Plot specimen collection locality information on
world maps
 Use ESRI shape files (.shp)
 Use images (.png)
 Zoom and pan functionality
 Drill down into plotted points
 Hooks into Google Maps
Collections Management
KE EMu Spatial Technologies
Collections Management
KE EMu Spatial Technologies
2 September 2005
Some Uses for KE EMu Web Maps
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Species distribution
Comparisons of distributions of species
Geocode verification
Collection ‘gap’ analysis
Collections Management
KE EMu Spatial Technologies
2 September 2005
KE EMu Web Portal
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Web-based search facility for multiple EMu sites
Distributes search to each EMu site concurrently
Supports specimen level retrieval
Supports aggregated analysis (KE EMu Web
Maps)
Collections Management
KE EMu Spatial Technologies
2 September 2005
KE EMu Web Portal Prototype
Sites participating in prototype include:
 National Museum of Natural History, Washington
 Natural History Museum, London
 American Museum of Natural History, New York
 Field Museum of Natural History, Chicago
 New York Botanical Garden
 Yale Peabody Museum of Natural History
Collections Management
KE EMu Spatial Technologies
Collections Management
KE EMu Spatial Technologies
2 September 2005
Some Uses for KE EMu Portal
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Collaborative research
Remote access to collection information
“Global” views of species
Identification of species
Repatriation of specimen data
Resource discovery
Collections Management