When a large amount of spatial data is available computational and modeling challenges arise and they are often labeled as “big n problem”. In this work we present a brief review of the literature. Then we focus on two approaches, respectively based on stochastic partial differential equations and integrated nested Laplace approximation, and on the tapering of the spatial covariance matrix. The...

Recently, the Hungarian Geographical Bulletin – that had been a forum for introducing empirically focused papers covering various social and physical geographical issues for decades – became engaged increasingly in academic discourses on socio-spatial inequalities, embracing various approaches and problems with diff erent scalar foci. The theoretical and methodological diversity that ranged fro...

Although conversations about how we die have become intense in Canada following the Supreme Court of Canada’s ruling last year and the current legislative process, there is a curious lack of discussion about the existential fact that we will all die and how considering that fact might help us improve our lives. In an essay about a village located on the slope of an intermittently active volcano...