Montreal : McGill-Queen's University Press, 
Book — cxxvi, 243 pages : map ; 24 cm
While Thomas James is not widely known today, this was not always the case: his 1633 publication The Strange and Dangerous Voyage of Captaine Thomas James was, until the early nineteenth century, the British public's primary source of information about what we now know as northern Canada. The account of his attempt to find the Northwest Passage and the winter he spent on an island in James Bay made his name synonymous with exploration and the north. Over the centuries James' narrative was used to compile travel books and to compose philosophical treatises, histories, children's books, as well as poetry and novels - most notably, it influenced Samuel Taylor Coleridge's The Rime of the Ancient Mariner and Mary Shelley's Frankenstein. Colleen Franklin's critical edition of the Voyage is the first since 1894. Her introduction details how James engages with both medieval and early modern perceptions of the north as well as the early modern imperative to base knowledge on observation and experience, and offers a history of the text's reception from its first publication into the nineteenth century. An invaluable reference on the early European exploration of North America, The Strange and Dangerous Voyage of Captaine Thomas James sheds new light on the representation of the Canadian north. (source: Nielsen Book Data) 9780773541924 20160614
Introduction.- Mathematical Background.- Mathematical Models for GPS Positioning.- Data and GPS Processing Strategies.- Observation Weighting Using Signal Quality Measures.- Results of SNR-based Observation Weighting.- Residual-based Temporal Correlation Modelling.- Results of Residual-based Temporal Correlation Modelling.- Conclusions and Recommendations.- Quantiles of Test Statistics.- Derivations of Equations.- Additional Graphs.- Additional Tables.
(source: Nielsen Book Data)
Global Navigation Satellite Systems (GNSS), such as GPS, have become an efficient, reliable and standard tool for a wide range of applications. However, when processing GNSS data, the stochastic model characterising the precision of observations and the correlations between them is usually simplified and incomplete, leading to overly optimistic accuracy estimates. This work extends the stochastic model using signal-to-noise ratio (SNR) measurements and time series analysis of observation residuals. The proposed SNR-based observation weighting model significantly improves the results of GPS data analysis, while the temporal correlation of GPS observation noise can be efficiently described by means of autoregressive moving average (ARMA) processes. Furthermore, this work includes an up-to-date overview of the GNSS error effects and a comprehensive description of various mathematical methods. (source: Nielsen Book Data) 9783642348358 20160612