This paper describes the best way to improve the optimization of spatial databases: through spatial indexes. The most commune and utilized spatial indexes are R-tree and Quadtree and they are presented, analyzed and compared in this paper. Also there are given a few examples of queries that run...

The emergence of urban-rural space, as evidenced by the expansion of low-density exurban areas and growth of amenity-based rural areas, is characterized by the merging of a rural landscape form with urban economic function. Changing economic conditions, including waning transportation and...

This paper introduces a new approach to modelling the conditional variance in a multivariate setting. It is essentially a combination of the popular GARCH model class with a spatial component, inspired by generalized space-time models. The resulting spatial GARCH model takes into account both...

Shift-share analysis is a decomposition technique that is commonly used to measure attributes of regional change. In this method, a large region is decomposed into its relevant functional and regional parts. By decomposing smaller regions embedded in a large region, it allows us to understand...

It is quite common in cross-sectional convergence analyses that data exhibit strong spatial dependence. While the literature adopting the regression approach is now fully aware that neglecting this feature may lead to inaccurate results and has therefore suggested a number of statistical tools...