نتایج جستجو برای: fuzzy variogram

تعداد نتایج: 90389  

Journal: :Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM)) 2014

2013
Michael C. Sukop Kevin J. Cunningham

Geometry of the pore space is a fundamental control on flow in carbonates over reservoir exploitation time scales. Fluid properties and pressure gradients are temporally variable and can be changed by use of effective reservoir production, workover, and stimulation procedures. The geometry of the porous medium largely remains constant except if significant pressure variations deform or fracture...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1389

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

2002
R. M. Lark

Robust estimators of the variogram can be used to identify a random function that describes the background variation of a soil property with the minimum influence of contaminants from a quasi point process. A method is proposed to exploit this to identify data which are best treated as a realization of a quasi point process rather than of a continuous random function for purposes of spatial ana...

Journal: :ISPRS Int. J. Geo-Information 2017
Ling Wang Bingwei Tian Katsuaki Koike Buting Hong Ping Ren

The quantification of spatial heterogeneity can be used to examine the structure of ecological systems. The 2008 Wenchuan earthquake caused severe vegetation damage. In addition to simply detecting change, the magnitude of changes must also be examined. Remote sensing and geographic information system techniques were used to produce landscape maps before and after the earthquake and analyze the...

Journal: :Biometrics 1999
J D Opsomer D Ruppert M P Wand U Holst O Hössjer

A method for fitting regression models to data that exhibit spatial correlation and heteroskedasticity is proposed. It is well known that ignoring a nonconstant variance does not bias least-squares estimates of regression parameters; thus, data analysts are easily lead to the false belief that moderate heteroskedasticity can generally be ignored. Unfortunately, ignoring nonconstant variance whe...

Journal: :Environmental monitoring and assessment 2008
Roland Pesch Hendrik Pehlke Kerstin Jerosch Winfried Schröder Michael Schlüter

In this article a concept is described in order to predict and map the occurrence of benthic communities within and near the German Exclusive Economic Zone (EEZ) of the North Sea. The approach consists of two work steps: (1) geostatistical analysis of abiotic measurement data and (2) calculation of benthic provinces by means of Classification and Regression Trees (CART) and GIS-techniques. From...

2003
DIONISSIOS T. HRISTOPULOS

The inverse problem of determining the spatial dependence of random fields (inference of the spatial model) from experimental samples is a central issue in geostatistics. We propose a computationally efficient approach based on Spartan Gibbs random fields. Their probability density function depends on a small set of parameters that can be determined by matching sample constraints with correspon...

2014
Jian Kang Xin Li Rui Jin Yong Ge Jinfeng Wang Jianghao Wang

The eco-hydrological wireless sensor network (EHWSN) in the middle reaches of the Heihe River Basin in China is designed to capture the spatial and temporal variability and to estimate the ground truth for validating the remote sensing productions. However, there is no available prior information about a target variable. To meet both requirements, a hybrid model-based sampling method without an...

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