Modelling population density over time: how spatial distance matters

Distance Matters

Giant strides in information technology at the turn of the century may have unleashed unreachable goals. With the invention of groupware, people expect to communicate easily with each other and accomplish difficult work even though they are remotely located or rarely overlap in time. Major corporations launch global teams, expecting that technology will make “virtual collocation” possible. Fede...

Space-time modelling without distance

We present a novel method for analysing space-time data when response data is given at a nite number of locations and the aim is to predict the response at a new location, where only a short run of data is available. This is the type of dataset that is typically available when attempting to analyse wind velocity data and we demonstrate our method, and compare it to that introduced by Haslett an...

On Geodetic Distance Computations in Spatial Modelling

Statisticians analyzing spatial data often need to detect and model associations based upon distances on the earth’s surface. Accurate computation of distances are sought for exploratory and interpretation purposes, as well as for developing numerically stable estimation algorithms. When the data come from locations on the spherical earth, application of Euclidean or planar metrics for computin...

Effect of Population Density, Division and Distance on Regional Economic Growth

Modelling the effect of intersections in linear habitat on spatial distribution and local population density

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