Clustering Geostatistical Data
نویسندگان
چکیده
We explore and compare different methods for the spatial clustering of geostatistical data. A new methodology based on the likelihood is proposed and compared to the approach by Allard and Monestiez (1999). Both methods are compared on a heavy metal concentration data set in the Swiss Jura.
منابع مشابه
WML Detection of Brain Images Using Fuzzy and Possibilistic Approach in Feature Space
White matter lesions are small areas of dead cells found in parts of the brain that act as connectors are detected using magnetic resonance imaging (MRI) which has increasingly been an active and challenging research area in computational neuroscience. This paper presents new image segmentation models for automated detection of white matter changes of the brain in an elderly population. The mai...
متن کاملFCM: THE FUZZY c-MEANS CLUSTERING ALGORITHM
nThis paper transmits a FORTRAN-IV coding of the fuzzy c-means (FCM) clustering program. The FCM program is applicable to a wide variety of geostatistical data analysis problems. This program generates fuzzy partitions and prototypes for any set of numerical data. These partitions are useful for corroborating known substructures or suggesting substructure in unexplored data. The clustering crit...
متن کاملA Geostatistical Modeling of Urban Land Values in Milwaukee, Wisconsin
Most studies on urban land values focus on the determinants, using hedonic land price models with the consideration of the physical and socio-economic factors. This article employs geostatistical methods to analyze urban land values. Through a case study of Milwaukee, we set up semivariogram models and 3-D TIN surface models for urban land values, and explore anisotropy characteristics and the ...
متن کاملUnsupervised classification of multivariate geostatistical data: Two algorithms
8 With the increasing development of remote sensing platforms and the evolution of sampling facilities in mining and oil industry, spatial datasets are becoming increasingly large, inform a growing number of variables and cover wider and wider areas. Therefore, it is often necessary to split the domain of study to account for radically different behaviors of the natural phenomenon over the doma...
متن کاملReservoir water temperature modeling by geostatistical analysis of ASTER images (Case Study: Dez Dam, Iran)
Satellite data have been used for temperature modeling both in urban areas and water. This paperstudies viability of ASTER satellite images that provide high spatial and spectral resolution to model watersurface temperature, as a fundamental water quality parameter. This study is focused on Dez dam reservoirresiding in Khuzestan province, south west of Iran. After the image corrections required...
متن کامل