Statistical procedures for spatial point pattern recognition
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099/4178
Tipus de documentArticle
Data publicació2002
EditorInstitut d'Estadística de Catalunya
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 2.5 Espanya
Abstract
Spatial structures in the form of point patterns arise in many different contexts, and in most of them the key goal concerns the detection and recognition of the underlying spatial pattern. Particularly interesting is the case of pattern analysis with replicated data in two or more experimental groups. This paper compares design-based and model-based approaches to the analysis of this kind of spatial data. Basic questions about pattern detection concern estimating the properties of the underlying spatial point process within each experimental group, and comparing the properties between groups. The paper discusses how either approach can be implemented in the specific context of a single-factor replicated experiment and uses simulations to show how the model-based approach can be more efficient when the underlying model assumptions hold, but potentially misleading otherwise.
CitacióMateu, Jorge. "Statistical procedures for spatial point pattern recognition". Qüestiió. 2002, vol. 26, núm. 1-2
ISSN0210-8054 (versió paper)
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
article.pdf | 207,4Kb | Visualitza/Obre |