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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Robustness analysis of stations from the GNSS-SP network

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Author(s):
Emerson Pereira Cavalheri [1] ; João Carlos Chaves [2]
Total Authors: 2
Affiliation:
[1] Universidade Estadual Paulista. Departamento de Cartografia. Programa de Pós-Graduação em Ciências Cartográficas - Brasil
[2] Universidade Estadual Paulista. Departamento de Cartografia. Programa de Pós-Graduação em Ciências Cartográficas - Brasil
Total Affiliations: 2
Document type: Journal article
Source: Bol. Ciênc. Geod.; v. 20, n. 2, p. 376-387, 2014-06-00.
Abstract

Currently, the need of reliable coordinates has been one of the main objectives of the scientific and practice community. Thus, the robustness analysis of a geodetic network, aims, at analyzing if the network is "robust" or not, based on the maximum undetectable errors. The network will be robust if the influence of these errors is small, otherwise it is "weak", or "not robust". This analysis is performed with the merger of two techniques, one which deals with the statistical analysis of reliability and the other one with the geometric strength analysis. The reliability analysis will provide the maximum error that cannot be detected by tests, after the adjustment. After finding these errors, the geometric strength analysis will determine the potential strain that the network will have, based on these errors. It is emphasized that the robustness analysis doesn't depend of the datum, reflecting only the geometry of the network and the accuracy of the observations (VANÌCEK et al., 2001). Therefore, this work aims at contributing to the scientific research on geodetic networks, checking the same, based on their geometry and observations. (AU)

FAPESP's process: 10/09255-3 - Robustness analysis of geodetic network based on strain analogy
Grantee:Emerson Pereira Cavalheri
Support Opportunities: Scholarships in Brazil - Scientific Initiation