ArchaeoSTOR Map: Publishing archaeological geodata on the web
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Transcript of ArchaeoSTOR Map: Publishing archaeological geodata on the web
ArchaeoSTOR Map:Publishing Archaeological
Geodata on the Web
UC San Diego, Calit2Yuma Matsui, Aaron Gidding, Thomas E. Levy,
Falko Kuester, Thomas A. DeFanti
COM.Geo 2012, 7/1/2012
Overview
• “Big Data” in digital archaeology
• Workflow of field research data
• Visual analysis on ArchaeoSTOR Map
Digital Archaeology Concept
Big Data
• Volume
• Velocity
• Variety
Variety of Data
• Site data
• Images, geospatial data, and metadata
• From cameras, total stations, LiDAR
Variety of Data
• Artifact data
• Images, analytical data, and metadata
• From cameras, XRF, FTiR
Role of Geospatial Data
• Every site has 3D vector and point cloud data.
• Every artifact has geospatial context.
• Field research data can be indexed by geodata.
Data Liberation
• Scientific data should be made public.
• Web is an ideal place to publish data
• Universally accessible
• Promotes collaboration
ArchaeoStor Map
• Web application to publish archaeological geodata onto a map
• Integrated with our data collection and organization workflow
• “Big Data” in digital archaeology
• Workflow of field research data
• Visual analysis on ArchaeoSTOR Map
Data Cycle
• Data collection
• Data organization
• Data publishing
Workflow Overview
Database(PostgreSQL
+PostGIS)
Objectstorage
Totalstations
Digitalcameras
Import shapefiles
into PostGIS
Input various data
Edit and annotate photos
Data management
web application
Client PC for field activities Data management servers
WebVisual analysisweb application
Geospatial web service
(Geoserver)
Artifacts
Data sources
Collection Organization Publishing
ArchaeoSTORMap
Data Collection
Database(PostgreSQL
+PostGIS)
Objectstorage
Totalstations
Digitalcameras
Import shapefiles
into PostGIS
Input various data
Edit and annotate photos
Data management
web application
Client PC for field activities Data management servers
WebVisual analysisweb application
Geospatial web service
(Geoserver)
Artifacts
Data sources
Collection
Data Collection
Data Organization
Database(PostgreSQL
+PostGIS)
Objectstorage
Totalstations
Digitalcameras
Import shapefiles
into PostGIS
Input various data
Edit and annotate photos
Data management
web application
Client PC for field activities Data management servers
WebVisual analysisweb application
Geospatial web service
(Geoserver)
Artifacts
Data sources
Organization
Data Organization
Data Organization
Data Publishing
Database(PostgreSQL
+PostGIS)
Objectstorage
Totalstations
Digitalcameras
Import shapefiles
into PostGIS
Input various data
Edit and annotate photos
Data management
web application
Client PC for field activities Data management servers
WebVisual analysisweb application
Geospatial web service
(Geoserver)
Artifacts
Data sources
Publishing
ArchaeoSTORMap
Data Publishing
Data Publishing
• Archaeologists can instantly grasp the visual overview of sites and artifacts with the interactive map.
• Archaeological data can be directly published and shared on the web with spatial query interface.
• “Big Data” in digital archaeology
• Workflow of field research data
• Visual analysis on ArchaeoSTOR Map
FEATURES
Site shapes, Artifact points
Detaild info,Link to artifact info
Filter
Photos
Features
• Interactive visualization on a single map
• Geospatial data, visual images, and artifact information
• Filtering geospatial elements by archaeological properties
• Navigation to detailed individual views of artifacts and photos
IMplementation
• Front-end
• Web application using OpenLayers library
• Back-end
• PostGIS + Geoserver
Toward Collaboration Platform
• Will provide a platform to share archaeological data with researchers and the public on the web
• Collaborative research and citizen science
• More capabilities for collaboration
• Personalized curation and annotation
Conclusions
• Modern archaeology is dealing with “Big Data” that have spatial context.
• ArchaeoSTOR Map realizes efficient visual analysis and publication of such data on the web.
• The system is integrated into the streamlined data management workflow
• We need more capabilities for collaboration.
Thank you.contact: [email protected]