Influencing factors on the accuracy of local geoid model
Different modification methods and software programs were developed to obtain accurate local geoid models in the past two decades. The quantitative effect of the main factors on the accuracy of local geoid modeling is still ambiguous and has not been clearly diagnosed yet. This study presents effort...
Published in: | Geodesy and Geodynamics |
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KeAi Communications Co.
2019
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070930634&doi=10.1016%2fj.geog.2019.07.003&partnerID=40&md5=e602f8b7487cedd6d1b301c4fffcbfa8 |
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2-s2.0-85070930634 Jalal S.J.; Musa T.A.; Md Din A.H.; Wan Aris W.A.; Shen W.; Pa'suya M.F. Influencing factors on the accuracy of local geoid model 2019 Geodesy and Geodynamics 10 6 10.1016/j.geog.2019.07.003 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070930634&doi=10.1016%2fj.geog.2019.07.003&partnerID=40&md5=e602f8b7487cedd6d1b301c4fffcbfa8 Different modification methods and software programs were developed to obtain accurate local geoid models in the past two decades. The quantitative effect of the main factors on the accuracy of local geoid modeling is still ambiguous and has not been clearly diagnosed yet. This study presents efforts to find the most influential factors on the accuracy of the local geoid model, as well as the amount of each factor's effect quantitatively. The methodology covers extracting the quantitative characteristics of 16 articles regarding local geoid models of different countries. The Statistical Package of Social Sciences (SPSS) software formulated a strong multiple regression model of correlation coefficient r = 0.999 with a high significance coefficient of determination R2 = 0.997 and adjusted R2 = 0.98 for the required effective factors. Then, factor analysis is utilized to extract the dominant factors which include: accuracy of gravity data (40%), the density of gravity data (25%) (total gravity factors is 65%), the Digital Elevation Model (DEM) resolution (16%), the accuracy of GPS/leveling points (10%) and the area of the terrain of the country/state under the study (9%). These results of this study will assist in developing more accurate local geoid models. © 2019 The Authors KeAi Communications Co. 16749847 English Review All Open Access; Gold Open Access |
author |
Jalal S.J.; Musa T.A.; Md Din A.H.; Wan Aris W.A.; Shen W.; Pa'suya M.F. |
spellingShingle |
Jalal S.J.; Musa T.A.; Md Din A.H.; Wan Aris W.A.; Shen W.; Pa'suya M.F. Influencing factors on the accuracy of local geoid model |
author_facet |
Jalal S.J.; Musa T.A.; Md Din A.H.; Wan Aris W.A.; Shen W.; Pa'suya M.F. |
author_sort |
Jalal S.J.; Musa T.A.; Md Din A.H.; Wan Aris W.A.; Shen W.; Pa'suya M.F. |
title |
Influencing factors on the accuracy of local geoid model |
title_short |
Influencing factors on the accuracy of local geoid model |
title_full |
Influencing factors on the accuracy of local geoid model |
title_fullStr |
Influencing factors on the accuracy of local geoid model |
title_full_unstemmed |
Influencing factors on the accuracy of local geoid model |
title_sort |
Influencing factors on the accuracy of local geoid model |
publishDate |
2019 |
container_title |
Geodesy and Geodynamics |
container_volume |
10 |
container_issue |
6 |
doi_str_mv |
10.1016/j.geog.2019.07.003 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070930634&doi=10.1016%2fj.geog.2019.07.003&partnerID=40&md5=e602f8b7487cedd6d1b301c4fffcbfa8 |
description |
Different modification methods and software programs were developed to obtain accurate local geoid models in the past two decades. The quantitative effect of the main factors on the accuracy of local geoid modeling is still ambiguous and has not been clearly diagnosed yet. This study presents efforts to find the most influential factors on the accuracy of the local geoid model, as well as the amount of each factor's effect quantitatively. The methodology covers extracting the quantitative characteristics of 16 articles regarding local geoid models of different countries. The Statistical Package of Social Sciences (SPSS) software formulated a strong multiple regression model of correlation coefficient r = 0.999 with a high significance coefficient of determination R2 = 0.997 and adjusted R2 = 0.98 for the required effective factors. Then, factor analysis is utilized to extract the dominant factors which include: accuracy of gravity data (40%), the density of gravity data (25%) (total gravity factors is 65%), the Digital Elevation Model (DEM) resolution (16%), the accuracy of GPS/leveling points (10%) and the area of the terrain of the country/state under the study (9%). These results of this study will assist in developing more accurate local geoid models. © 2019 The Authors |
publisher |
KeAi Communications Co. |
issn |
16749847 |
language |
English |
format |
Review |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677902248148992 |