Name
Abstract | ||
|---|---|---|
In this paper we propose a new class of spatial concentration measures to verify hypotheses on the spatial concentration of empirical phenomena. Our proposed measures incorporate the ideas of both a-spatial concentration and spatial autocorrelation. We discuss many issues related to the approximate sampling theory and we suggest a Monte Carlo test for the presence of significant spatial concentration. A simulation experiment studying the relationship of the new measure to different spatial patterns and to different levels of a-spatial variability is also reported. A discussion related to irregular space is included. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.csda.2009.07.003 | Computational Statistics & Data Analysis |
Keywords | Field | DocType |
new measure,different level,spatial concentration,spatial autocorrelation,different spatial pattern,a-spatial concentration,new class,a-spatial variability,significant spatial concentration,spatial concentration measure,spatial econometrics,spatial variability,spatial pattern,simulation experiment | Spatial analysis,Econometrics,Monte Carlo method,Spatial econometrics,Survey sampling,Approximation theory,Sampling (statistics),Statistics,Spatial ecology,Mathematics,Autocorrelation | Journal |
Volume | Issue | ISSN |
53 | 12 | Computational Statistics and Data Analysis |
Citations | PageRank | References |
2 | 1.36 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuseppe Arbia | 1 | 38 | 8.79 |
| Gianfranco Piras | 2 | 8 | 3.26 |