05 March 2001


International Association of Geodesy

IAG - SSG 4.190

First International Symposium on Robust Statistics and Fuzzy Techniques in Geodesy and GIS

March 12-16, 2001 Swiss Federal Institute of Technology ETH Hoenggerberg HIL CH-8093 Zurich


Geometrical and physical models in Geodesy and GIS are more or less adequate approximations of reality. The difference between reality and models is expressed by uncertainty. Classical adjustment theory and statistics is a well-known mathematical basis for the analysis of uncertain data but not the only one. It is not even the proper tool for all kinds of uncertainties as imprecision, vagueness, or incompleteness. There exist other theories like, e.g., robust statistics, fuzzy theory, Bayesian statistics, Dempster-Shafer theory, etc., which are more suitable for a number of problems. It is a challenge for geodetic data analysis to combine the different approaches of uncertainty assessment. For that both the common grounds and the differences of the statistical and non-statistical approaches need to be understood. The Symposium is embedded in the work of the Special Study Group 4.190 on Non-probabilistic Assessment in Geodetic Data Analysis of the International Association of Geodesy (1999-2003).

Purpose and Objectives

The program is focussed on applications of robust statistics, fuzzy theory, and the like to the assessment and management of uncertainty when analyzing geodetic or geomatic data. It is designed to promote information exchange and discussion of scientists dealing with the analysis of geodetic or geomatic data. It is directed to participants from all parts of geodesy, geomatics, and related fields."