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Wind as a Geomorphic Agent in Cold Climates
A 2004 monograph describing wind-generated polar landforms, both modern-day and those preserved in the geological record.
The Springs of Democracy
During the First World War, conflicts between the people’s sacrifices and their political participation led to crises of parliamentary legitimacy. This volume compares British, German, Swedish and Finnish debates on revolution, rule by the people, democracy and parliamentarism and their transnational links. The British reform, although more about winning the war than advancing democracy, restored parliamentary legitimacy, unlike in Germany, where Allied demands for democratisation made reform appear treasonous and fostered native German solutions. Sweden only adopted Western political models after major confrontations, but reforms saw it embark on its path to Social Democracy. In Finland, competing Russian revolutionary discourses and German- and Swedish-inspired appeals to legality brought about the deterioration of parliamentary legitimacy and a civil war. Only a republican compromise imposed by the Entente, following a royalist initiative in 1918, led to the construction of a viable polity.
Periglacial and Paraglacial Processes and Environments
Periglacial and paraglacial environments, located outside ice sheet margins but responding to similar climate forcings, are key to identifying climate change effects upon the Earth system. These environments are relicts of cold Earth processes and so are most sensitive to global warming. Changes in the distribution and thickness of permafrost in continental interiors have implications for ecosystem and landscape stability. Periglacial Alpine environments are experiencing increased rockfall and mass movement, leading to rock glacier instability and sediment release to downstream rivers. In turn, these landscape effects impact on natural hazards and human activities in these sensitive and geologically transient environments.
Periglacial Processes and Landforms in Britain and Ireland
This 1987 book examines the intimate link between periglacial geomorphology and the fluctuating climates of the Quaternary Period in the British Isles. In the last two million years, ice sheets have covered northern Britain several times. In the south, at the limit of the glaciation, intense frost action and the formation of permafrost have influenced past and present landscapes. The first part of the book looks at areas of the world that have climates similar to periglacial Britain: Scandinavia, the Canadian Arctic, and alpine regions. Contributors then present data on periglacial landforms in the British Isles. Topics discussed include the periglaciation of upland Britain, ground ice depressions, and pingo remnants. The regions surveyed stretch from northern Scotland to the Isles of Scilly. The contributions are based on a conference held in late 1985 under the sponsorship of the International Geographical Union and the Quaternary Research Association of the United Kingdom.
History of the Finns in Michigan
A history of the Finnish people in Michigan published in English for the first time.
Field and Theory
This collection of papers by internationally known scientists in the field of geocryology was originally presented as a series of lectures at the University of British Columbia in 1980-1 in honour of J. Ross MacKay. Together they illustrate the central dilemma in a science where fieldwork must be undertaken in the harsh periglacial environment and where, consequently, it is difficult to test theory rigorously. The papers provide a valuable overview of the current status of international research in a wide area of the field -- permafrost, patterned ground, and cold climate phenomena and processes. The treatment varies from anecdotal, historical, and descriptive to mathematical.
Entropy Randomization in Machine Learning
Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning, Ent...
