USGS - science for a changing world

Center of Excellence for Geospatial Information Science (CEGIS)

Skip Links


CEGIS Research Plan 2013-2018

Presentations and Publications from CEGIS

Completed Projects


Current CEGIS Projects

Data Integration

Geospatial Semantics and Ontology

High-performance Computing (HPC)

Integration of NGP Data within Fluid Dynamic Applications

Multiscale Representation

National Terrain Mapping

Spatiotemporal Data Modeling

Volunteered Geographic Information (VGI)

Academic Affiliates


The National Map

Home ← Spatiotemporal Data Models

Spatiotemporal Data Models

With the acquisition of lidar point cloud and digital elevation data from 3DEP, research is being conducted to determine appropriate multidimensional data models that can handle the 3 and 4 dimensional data with semantics, and still include legacy data.

Although many spatiotemporal models have been developed, none of these models include the recent developments in geospatial semantics, VGI and crowdsourcing, and high performance computing, which are integral parts of the future of 3DEP and The National Map.

Data Model Requirements

  • True three-dimensional coordinates on a feature by feature basis.
  • Maintenance of spatial topology in three-dimensions
  • Temporal data on feature basis
  • Changes in semantics and geometry over time
  • Rapid conversion to the triple model of subject, predicate, object of geospatial semantics and the Semantic Web.

Prior work:

Poster - A Multidimensional Geographic Feature System (346k pdf)

To read pdf files you will need the free Adobe Acrobat Reader

Accessibility FOIA Privacy Policies and Notices logo U.S. Department of the Interior | U.S. Geological Survey
Questions or Assistance: Contact USGS
Last modified: Thursday, 23-Feb-2017 16:02:52 EST