6533b85ffe1ef96bd12c2236
RESEARCH PRODUCT
L'évolution de l'occupation humaine : l'analyse spatiale exploratoire des données.Le problème de l'incertitude et de l'hétérogénéité des données en archéologie
Lucile Pillot Laure Salignysubject
fonction K de Ripley[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryPoint patternsemis de pointsESDAKernel Density Estimation.estimation des densités de noyaux.statistique spatialeK Ripley function[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.STAT] Humanities and Social Sciences/Methods and statisticsAnalyse spatialeSpatial analyst[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsdescription
The analysis of the evolution of the settlement requires a lot of methodological questioning. Despite a frequent use of the spatial analysis methods, few works return to their methodological problems. This article proposes to make a comparison and a discussion around two exploratory statistical methods (the K function of Ripley and the Kernel Density Estimation). It seems that scale, quality and quantity of input data, are three essential parameters to be taken into account so as to lead a spatial analysis in archaeology. In intrinsic way, archaeological data are non homogeneous. For that purpose, our article proposes a multi scalar approach integrating the non homogeneousness character of the data.
year | journal | country | edition | language |
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2011-10-20 |