London calling?: Preferred emigration destinations among Icelandic youth

Post-print (lokagerð höfundar)Preferred emigration destinations among adolescents reflect images and stereotypes of other countries that continuously emerge in a multitude of local and global discourses and from concrete experiences with other countries. The affinities of Icelandic adolescents are split between the islands of the Northern Atlantic, continental Nordic countries, European core countries, and North American countries. If they had to leave Iceland, however, the largest proportion of Icelandic adolescents would want to move to the United States. Girls are more likely to choose the Nordic countries, in particular Denmark, while boys are more likely to choose English-speaking countries with a reputation for economic and military power such as the United States and England. Adolescents are more likely to prefer migrating to Europe rather than North America if they are proud of their Icelandic nationality, live in cohesive communities, have more educated parents, and feel closer to Europe. Adolescents who want to move abroad are in contrast most likely to have North American destinations in mind. Recent geopolitical changes may however shift the attention of Icelandic adolescents eastward towards the European continent.This article has benefited greatly from extensive discussions with Atli Hafthorsson, Brynhildur Thorarinsdottir, Kjartan Olafsson and Michael S. Gibbons, and from the pioneering scholarship of Professor Thorbjorn Broddason. The data collection was in part made possible by a grant from the University of Akureyri Research Fund.Peer Reviewe

Comparative empirical evaluations of internal migration models in subnational population projections

While population forecasters place considerable emphasis on the selection of appropriate migration assumptions, surprisingly little attention has been given to the effects on projection outcomes of the way internal migration is handled within population projection models. This paper compares population projections for Australia's states and territories prepared using ten different internal migration models but with identical assumptions for fertility, mortality and international migration and with the internal migration model parameters held constant. It is shown that the choice of migration model generates large differences in total population, geographical distribution and age--sex composition. It is argued that model choice should be guided by balancing model reality with practical utility and model performance is examined against these criteria. Of the ten models evaluated the authors argue that the migration pool, biregional, and biregional with net constraints models offer a good compromise between conceptual rigour and practicality. If the projected origin-destination flows are required then one of the versions of the standard multiregional model with reduced data inputs is preferred. The large variation in projection outputs points to the need for a better understanding of the spatio-temporal structure of migration in Australia

Stanley in Africa : 1867 to 1889

Text auf Kartenrückseite von E.G. Ravenstein (5 S.

Englischer Sprachfuhrer. Konversation3-Worterbuch. Neuer Abdruck.

Meyers Sprachführer.LEIDSSTELSELOPLADEN-RUG0

PAPUA NUEVA GUINEA. Mapas generales (1875). 1:3000000

Presenta además un mapa de detalle de la zonaCoordenadas relativas a un meridiano que no se especifica (E130°00'-E137°5'/S0°02'-S4°05')Relieve representado por normalesTabla de signos convencionales para indicar los principales accidentes geográficosPertenece al 'geog. Magazine Febr. 1876

Topological properties and temporal dynamics of place networks in urban environments

Understanding the spatial networks formed by the trajectories of mobile users can be beneficial to applications ranging from epidemiology to local search. Despite the potential for impact in a number of fields, several aspects of human mobility networks remain largely unexplored due to the lack of large-scale data at a fine spatiotemporal resolution. Using a longitudinal dataset from the location-based service Foursquare, we perform an empirical analysis of the topological properties of place networks and note their resemblance to online social networks in terms of heavy-tailed degree distributions, triadic closure mechanisms and the small world property. Unlike social networks however, place networks present a mixture of connectivity trends in terms of assortativity that are surprisingly similar to those of the web graph. We take advantage of additional semantic information to interpret how nodes that take on functional roles such as 'travel hub', or 'food spot' behave in these networks. Finally, motivated by the large volume of new links appearing in place networks over time, we formulate the classic link prediction problem in this new domain. We propose a novel variant of gravity models that brings together three essential elements of inter-place connectivity in urban environments: network-level interactions, human mobility dynamics, and geographic distance. We evaluate this model and find it outperforms a number of baseline predictors and supervised learning algorithms on a task of predicting new links in a sample of one hundred popular cities