Entropy has been proposed as a significant tool for an analysis of spatial differences. Using Semple and Gauthier’s (1972) transformation of the Shannon entropy statistic into an entropy measure of inequality and their algorithm, an estimation is made of changes in regional inequality in Poland over the years 2005–2012. The inequality is decomposed into total, inter- and intra-regional types, and an analysis is made of relations holding between them
A very recent proposal of a set of entropy measures for spatial data, based on building pairs of rea...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...
Entropy has been proposed as a significant tool for an analysis of spatial differences. Using Semple...
Entropy has been proposed as a significant tool for an analysis of spatial differences. Using Semple...
W artykule przedstawiono zastosowanie entropijnej statystyki Shannona i algorytmu opracowanego przez...
Localization of economic activities is a manifestation of two closely-related economic phenomena: th...
This chapter offer a critical review of the use of entropy indices to evaluate structural change and...
In this paper we revisit the concept of entropy as it manifests itself in spatial terms. We focus sp...
Entropy is widely employed in many applied sciences to measure the heterogeneity of observations. Re...
The concept of entropy connected with GIS is relatively new. Its mathematical background was defined...
The article presents a new scientific approach to the issue of entropy as a pro-growth and limiting ...
It is well known that the broad concept of localisation has two connotations, namely, regional speci...
We use entropy indices to describe sectoral location patterns across Western European regions over t...
Entropy is a measure of heterogeneity widely used in applied sciences, often when data are collected...
A very recent proposal of a set of entropy measures for spatial data, based on building pairs of rea...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...
Entropy has been proposed as a significant tool for an analysis of spatial differences. Using Semple...
Entropy has been proposed as a significant tool for an analysis of spatial differences. Using Semple...
W artykule przedstawiono zastosowanie entropijnej statystyki Shannona i algorytmu opracowanego przez...
Localization of economic activities is a manifestation of two closely-related economic phenomena: th...
This chapter offer a critical review of the use of entropy indices to evaluate structural change and...
In this paper we revisit the concept of entropy as it manifests itself in spatial terms. We focus sp...
Entropy is widely employed in many applied sciences to measure the heterogeneity of observations. Re...
The concept of entropy connected with GIS is relatively new. Its mathematical background was defined...
The article presents a new scientific approach to the issue of entropy as a pro-growth and limiting ...
It is well known that the broad concept of localisation has two connotations, namely, regional speci...
We use entropy indices to describe sectoral location patterns across Western European regions over t...
Entropy is a measure of heterogeneity widely used in applied sciences, often when data are collected...
A very recent proposal of a set of entropy measures for spatial data, based on building pairs of rea...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...