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: yumatsui@ucsd.edu