ISPRS - Technical Commission II

Theory and Concepts of Spatial Information Science


Our Mission:

The goal of the work and activities of Technical Commission II is to advance the research, technology and applications of spatial information science. The first focus is on development of efficient representation and modeling for multi-scale, multi-dimensional and multi-temporal data. The second focus is on the design of methods, tools and algorithms for integrating, managing, mining and visualizing of existing and newly created multi-resolution spatio-temporal sensor data for use in spatial decision-support systems. The third focus is on the development of server, web and mobile frameworks to enable high performance computing (e.g., grid and cloud computing) for big geospatial data processing and geospatial modeling and simulation. The fourth focus is on the quality control assessment of spatial data and analysis at multiple scales using existing and new approaches to spatial uncertainty modeling including multivariate statistics, crowdsourcing and citizen science.

Commission Officers

President  

Songnian Li Li

Songnian Li
Geomatics Engineering
Department of Civil Engineering
Ryerson University
350 Victoria St., Toronto
Ontario, M5B 2 K3
Canada
+1 416 979 5000 ext 6450
+1 416 979 5122

www.ryerson.ca/~snli

Vice-President  

Suzana Dragicevic

Suzana Dragicevic
Simon Frasier University
8888 University Drive, Burnaby
British Columbia, V5A 1S6
Canada
+1 778 782 4621
+1 778 782 5841

www.sfu.ca/dragicevic/

Terms of Reference

  • Fundamentals of spatial information science: spatio-temporal modeling, spatial data structures, spatio-temporal databases structure, spatio-temporal querying;
  • Spatial analysis and spatial data mining;
  • Spatial reasoning and spatial decision support systems;
  • Spatial data and model quality;
  • Aggregation, generalization, abstraction and rendering of field-based and object-based spatial data;
  • Processing, analysis and modeling of multi-dimensional spatial data;
  • Interoperability of heterogeneous spatial information systems and system integration;
  • Semantic and geometric integration of heterogeneous spatial information.
  • Communication, dissemination and visualization of spatial data;
  • Geostatistics, computer graphics and cloud computing for spatial data and information.