ArchaeoSTOR Map: Publishing archaeological geodata on the web

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http://dx.doi.org/10.1145/2345316.2345355 …

http://dx.doi.org/10.1145/2345316.2345355

Modern field science, including archaeology, utilizes a mas- sive amount of digital data captured by state-of-the-art mea- surement instruments. Large archaeological data sets may include images, geospatial data, analytical data, and meta- data. Geospatial information plays a central role in the life cycle of those data; information is collected, organized, and published for analyses and visualization as final output us- ing geospatial data as an index. The web is an ideal place to publish scientific data and promote diverse collaboration, and thus we need a system to publish digital archaeologi- cal data efficiently so that it is also integrated in our data management workflow. In order to realize this goal, we designed and implemented a web-based application named ArcheoSTOR Map, which visualizes and publishes raw ar- chaeological data onto a map.

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  • 1. ArchaeoSTOR Map: Publishing Archaeological Geodata on the Web UC San Diego, Calit2 Yuma Matsui, Aaron Gidding, Thomas E. Levy, Falko Kuester, Thomas A. DeFanti COM.Geo 2012, 7/1/2012
  • 2. Overview • “Big Data” in digital archaeology • Workflow of field research data • Visual analysis on ArchaeoSTOR Map
  • 3. Digital Archaeology Concept
  • 4. Big Data • Volume • Velocity • Variety
  • 5. Variety of Data • Site data • Images, geospatial data, and metadata • From cameras, total stations, LiDAR
  • 6. Variety of Data • Artifact data • Images, analytical data, and metadata • From cameras, XRF, FTiR
  • 7. 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.
  • 8. Data Liberation • Scientific data should be made public. • Web is an ideal place to publish data • Universally accessible • Promotes collaboration
  • 9. ArchaeoStor Map • Web application to publish archaeological geodata onto a map • Integrated with our data collection and organization workflow
  • 10. • “Big Data” in digital archaeology • Workflow of field research data • Visual analysis on ArchaeoSTOR Map
  • 11. Data Cycle • Data collection • Data organization • Data publishing
  • 12. Workflow Overview Database (PostgreSQL +PostGIS) Object storage Total stations Digital cameras Import shapefiles into PostGIS Input various data Edit and annotate photos Data management web application Client PC for field activities Data management servers Web Visual analysis web application Geospatial web service (Geoserver) Artifacts Data sources Collection Organization Publishing ArchaeoSTOR Map
  • 13. Data Collection Database (PostgreSQL +PostGIS) Object storage Total stations Digital cameras Import shapefiles into PostGIS Input various data Edit and annotate photos Data management web application Client PC for field activities Data management servers Web Visual analysis web application Geospatial web service (Geoserver) Artifacts Data sources Collection
  • 14. Data Collection
  • 15. Data Organization Database (PostgreSQL +PostGIS) Object storage Total stations Digital cameras Import shapefiles into PostGIS Input various data Edit and annotate photos Data management web application Client PC for field activities Data management servers Web Visual analysis web application Geospatial web service (Geoserver) Artifacts Data sources Organization
  • 16. Data Organization
  • 17. Data Organization
  • 18. Data Publishing Database (PostgreSQL +PostGIS) Object storage Total stations Digital cameras Import shapefiles into PostGIS Input various data Edit and annotate photos Data management web application Client PC for field activities Data management servers Web Visual analysis web application Geospatial web service (Geoserver) Artifacts Data sources Publishing ArchaeoSTOR Map
  • 19. Data Publishing
  • 20. 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.
  • 21. • “Big Data” in digital archaeology • Workflow of field research data • Visual analysis on ArchaeoSTOR Map
  • 22. FEATURES Site shapes, Artifact points Detaild info, Link to artifact info Filter Photos
  • 23. 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
  • 24. IMplementation • Front-end • Web application using OpenLayers library • Back-end • PostGIS + Geoserver
  • 25. 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
  • 26. 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.
  • 27. Thank you. contact: yumatsui@ucsd.edu