Results 91 to 100 of about 3,459 (219)

Methods for estimating the semivariogram

, 2002
Modelling spatial variability, typically in terms of the semivariogram, is of great interest when the objective is to compute spatial predictions of parameters measured in space.
Carstensen, Niels Jacob, Rootzen, Helle, Lophaven, Søren Nymand, Carstensen, Jacob   +3 more
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Comparison of inference methods for estimating semivariogram model parameters and their uncertainty: The case of small data sets [PDF]

, 2012
The semivariogram model is the fundamental component in all geostatistical applications and its inference is an issue of significant practical interest.
Pardo-Iguzquiza, E., Dowd, P., Dowd, Peter A., Pardo-Igúzquiza, Eulogio   +3 more
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Variabilidade espacial da textura e da densidade de partículas em um solo aluvial no Município de Lavras, MG Spatial variability of the texture and particle density in an alluvial soil in the region of Lavras, MG - Brazil

Revista Brasileira de Engenharia Agrícola e Ambiental, 2002
Para se de identificar a variabilidade espacial da textura e da densidade de partículas em um solo hidromórfico, realizou-se uma amostragem sistemática ao longo de uma transeção de 100 m de comprimento, paralela a um curso d'água, com espaçamentos entre ...
Edson S. Eguchi, Elio L. da Silva, Marcelo S. de Oliveira   +2 more
doaj   +1 more source

Spatial Distribution Based on Semivariogram Model

, 2009
This article aims to discuss some aspects in conducting inferential analysis of census data.In this analysis, the assumptions of normality and IID (independently and identically distribution)in the observations are no longer realistic. Hence conventional
Pawitan, G. (Gandi)
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Article Title Hybrid Estimation of Semivariogram O F R E A D I N G O N L Y Hybrid Estimation of Semivariogram Parameters 1 1

, 2020
Two widely used methods of semivariogram estimation are weighted least squares estimation and maximum likelihood estimation. The former have certain computational advantages, whereas the latter are more statistically efficient.
Dale L Zimmerman, F O R P R O, Hao Zhang
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Interpolasi Spasial Metode Co-Kriging Menggunakan Semivariogram Isotropik Dan Anisotropik (Studi Kasus Pada Data Curah Hujan Wilayah Lumajang [PDF]

, 2017
Metode co-kriging merupakan metode interpolasi spasial untuk menduga nilai suatu peubah dengan menambahkan nilai terboboti dari peubah sekunder untuk menduga nilai peubah primer di lokasi tertentu.
Adelia, Rara Sinta Ayu
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Characterizing Spatial Variability of Soil Properties in Tigris Basin Using Geostatistics and Geographical Information Systems

Türkiye Tarımsal Araştırmalar Dergisi, 2018
Assessment, evaluation and mapping of the spatial characteristics of soil properties are crucial to ensure the sustainability of plant production and the development of appropriate management practices in the areas of intensive agricultural production.
Mesut BUDAK, Hikmet GÜNAL, İsmail ÇELİK, Nurullah ACİR, Mesut SIRRI   +4 more
doaj   +1 more source

Selection of a semivariogram model in the study of spatial distribution of soil moisture

Journal of Water and Land Development, 2017
The paper presents a selection of a semivariogram model in the study of spatial variability of soil moisture in a loess agricultural catchment. Soil moisture tests were carried out in the Moszenki village, 15 km northwest of Lublin.
Obroślak Radomir, Dorozhynskyy Oleksandr   +1 more
doaj   +1 more source

FITING SEMIVARIOGRAM DENGAN LINEAR PROGRAMMING (LP), ORDINARY LEAST SQUARES (OLS) DAN WEIGHTED LEAST SQUARES (WLS)

, 2016
One of the basic tools in the geostatistics is the semivariogram which explains the variability of data at a specific distance and direction. The purpose of this study was to obtain a theoretical semivariogram models based on a robust experimental ...
Faisal, Fachri
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Interpolasi Spasial Metode Ordinary Kriging Menggunakan Semivariogram Anisotropik (Studi Pada Data Jumlah Kasus Demam Berdarah Dengue Wilayah Malang Raya) [PDF]

, 2018
Ordinary kriging merupakan metode interpolasi spasial untuk menduga nilai suatu peubah pada lokasi yang tidak tersampel. Metode ini menghasilkan nilai yang tidak bias dengan meminimumkan galat. Dalam metode ordinary kriging diperlukan semivariogram untuk
Amalia, Hilda
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