Spatial Economics for Granular Settings

Granular GeoGraph: a multi-granular conceptual model for spatial data

The problem of managing multiple representations of the same spatial data at different levels of granularity is widely recognized as a relevant one in the spatial database community. We focus our attention on the phase of conceptual design. We provide (conceptual) spatial data models with two distinct, but related, granularity dimensions, namely, a purely spatial one and a semantic one, and we ...

Clustering , Logistics , and Spatial Economics

In the last decade, the number of logistic service providers located in clusters across Europe has increased substantially. Because location choice models in logistics studies are not able to give a satisfactory explanation for this phenomenon, various spatial economic concepts are studied in this paper. The main purpose is to provide more insight into the selection of economically attractive l...

Mathematical Models in Spatial Economics

Rough Granular Computing in Modal Settings: Generalised Approximation Spaces

Granular computing (GrC) is a methodology or – as ambitious at it sounds – a paradigm in computer science the aim of which is to define and solve computational problems in terms of information granules. These granules are conceived as clumps of objects drawn together due to some criteria such as, e.g., similarity, indiscernibility or functionality. The present paper is concerned with the rough ...

Multilaminate Elastoplastic Model for Granular Media

A multilaminate based model capable of predicting the behavior of granular material on the basis of sliding mechanisms and elastic behavior of particles is presented. The capability of the model to predict the behavior of sand under arbitrary stress paths is examined. The influences of rotation of the direction of principal stress axes and induced anisotropy are included in a rational way witho...