surface orientation analysis of spatial data with the application
ABSTRACT<br /> This paper investigates the problem concerning the analysis of trend surface of spatially correlated data, we have got the model of trend surface based on an assumed covariance function. This function contains parameters called variance components, these parameters are estimated...
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College of Education for Pure Sciences
2009-06-01
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doaj-07a5c36c82d740789fac8050a2b845bc2020-11-25T01:35:04ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25302009-06-0122233935310.33899/edusj.2009.5769157691surface orientation analysis of spatial data with the applicationDena Adonia OdeshooMohammed Natheer IsmaelABSTRACT<br /> This paper investigates the problem concerning the analysis of trend surface of spatially correlated data, we have got the model of trend surface based on an assumed covariance function. This function contains parameters called variance components, these parameters are estimated by maximum likelihood estimation that depends on Newten-Raphson algorithms to obtain the convergent solutions.<br /> The applied representation includes the analysis of real spatial data which represent the level of ground water in Al-Qaaim west of Iraq, the results is very encouraging.<br /> All algorithms are programmed by MATLAB.https://edusj.mosuljournals.com/article_57691_8004da5ca80d43a4a767428b8768f9a7.pdforientationanalysisspatial data |
collection |
DOAJ |
language |
Arabic |
format |
Article |
sources |
DOAJ |
author |
Dena Adonia Odeshoo Mohammed Natheer Ismael |
spellingShingle |
Dena Adonia Odeshoo Mohammed Natheer Ismael surface orientation analysis of spatial data with the application مجلة التربية والعلم orientation analysis spatial data |
author_facet |
Dena Adonia Odeshoo Mohammed Natheer Ismael |
author_sort |
Dena Adonia Odeshoo |
title |
surface orientation analysis of spatial data with the application |
title_short |
surface orientation analysis of spatial data with the application |
title_full |
surface orientation analysis of spatial data with the application |
title_fullStr |
surface orientation analysis of spatial data with the application |
title_full_unstemmed |
surface orientation analysis of spatial data with the application |
title_sort |
surface orientation analysis of spatial data with the application |
publisher |
College of Education for Pure Sciences |
series |
مجلة التربية والعلم |
issn |
1812-125X 2664-2530 |
publishDate |
2009-06-01 |
description |
ABSTRACT<br /> This paper investigates the problem concerning the analysis of trend surface of spatially correlated data, we have got the model of trend surface based on an assumed covariance function. This function contains parameters called variance components, these parameters are estimated by maximum likelihood estimation that depends on Newten-Raphson algorithms to obtain the convergent solutions.<br /> The applied representation includes the analysis of real spatial data which represent the level of ground water in Al-Qaaim west of Iraq, the results is very encouraging.<br /> All algorithms are programmed by MATLAB. |
topic |
orientation analysis spatial data |
url |
https://edusj.mosuljournals.com/article_57691_8004da5ca80d43a4a767428b8768f9a7.pdf |
work_keys_str_mv |
AT denaadoniaodeshoo surfaceorientationanalysisofspatialdatawiththeapplication AT mohammednatheerismael surfaceorientationanalysisofspatialdatawiththeapplication |
_version_ |
1725068782659960832 |