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.

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