نتایج جستجو برای: kriging

تعداد نتایج: 4783  

Journal: :Water Resources Research 1998

Journal: Desert 2016
A. Afzali A. Golpaygani E. Azizabadi Farahani E. Khosrojerdi H. Keshtkar M. TaghiNaghilou N. Moazami S. Pakzad Z. Yousefi

     Drought monitoring is a fundamental component of drought risk management. It is normally performed using various drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables. In many instances, drought indices are used for monitoring purposes. Geostatistical methods allow the interpolation of spatially referenced data and the prediction of v...

2006
T. Bernardes I. Gontijo H. Andrade T. G. C. Vieira H. M. R. Alves

The objective of this work is to define procedures to improve spatial resolution of SRTM data and to evaluate their applicability in the Serra Negra region, in the district of Patrocínio, state of Minas Gerais in Brazil. The region's structure is a result of past tectonic processes that have arched it into a dome shape. Besides the already existing agriculture exploitation, Serra Negra also has...

2015
Shau-Shiun Jan Shuo-Ju Yeh Ya-Wen Liu

The main approach for a Wi-Fi indoor positioning system is based on the received signal strength (RSS) measurements, and the fingerprinting method is utilized to determine the user position by matching the RSS values with the pre-surveyed RSS database. To build a RSS fingerprint database is essential for an RSS based indoor positioning system, and building such a RSS fingerprint database requir...

Journal: :Remote Sensing 2017
Mengmeng Wang Guojin He Zhaoming Zhang Guizhou Wang Zhengjia Zhang Xiaojie Cao Zhijie Wu Xiuguo Liu

Near surface air temperature (NSAT) is a primary descriptor of terrestrial environmental conditions. In recent decades, many efforts have been made to develop various methods for obtaining spatially continuous NSAT from gauge or station observations. This study compared three spatial interpolation (i.e., Kriging, Spline, and Inversion Distance Weighting (IDW)) and two regression analysis (i.e.,...

Journal: :Mathematical and Computer Modelling 2011
Yujian Yang Jianhua Zhu Chunjiang Zhao Shuyun Liu Xueqin Tong

Under the framework of the soil–wheat system, the sampling area was selected in the demonstration site of Lingxian country of Shandong province, Normalized Difference Vegetation Index (NDVI) of 195 sites were collected by GreenSeeker optical sensor based on the GPS localization data. The main objective of the paper developed the comparison study by Kriging and BPNN algorithm for NDVI continuity...

2008
J. M. Mirás-Avalos

In this paper, results from three different interpolation techniques based on Geostatistics (ordinary kriging, kriging with external drift and conditional simulation) and one deterministic method (inverse distances) for mapping total monthly rainfall are compared. The study data set comprised total monthly rainfall from 1998 till 2001 corresponding to a maximum of 121 meteorological stations ir...

Journal: :ISPRS Int. J. Geo-Information 2016
Jingxiong Zhang Yingying Mei

Accuracy is increasingly recognized as an important dimension in geospatial information and analyses. A strategy well suited for map users who usually have limited information about map lineages is proposed for location-specific characterization of accuracy in land cover change maps. Logistic regression is used to predict the probabilities of correct change categorization based on local pattern...

Journal: :Applied optics 2005
Luis Miguel Sanchez-Brea Eusebio Bernabeu

In optical metrology the final experimental result is normally an image acquired with a CCD camera. Owing to the sampling at the image, an interpolation is usually required. For determining the error in the measured parameters with that image, knowledge of the uncertainty at the interpolation is essential. We analyze how kriging, an estimator used in spatial statistics, can generate convolution...

2012
Ikjin Lee K. K. Choi Liang Zhao

This study presents how to carry out RBDO when surrogate models are used to represent true performance functions. The Dynamic Kriging (D-Kriging) method is used to generate surrogate models, and stochastic sensitivity analysis is introduced to compute sensitivities of probabilistic constraints with respect to the design variables, which are the mean values of the input independent or correlated...

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