The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting
Indonesia as an archipelago country relies on a limited number and clustered distributed repeat station networks. This paper explores the use of geostatistical modeling to overcome this data limitation. The model data set consisted of repeat station data from 1985 to 2015 epoch. The geostatistical m...
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id-ugm-repo.2829062023-11-17T02:09:01Z https://repository.ugm.ac.id/282906/ The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting Syirojudin, Muhamad Haryono, Eko Ahadi, Suaidi Geography and Environmental Sciences Indonesia as an archipelago country relies on a limited number and clustered distributed repeat station networks. This paper explores the use of geostatistical modeling to overcome this data limitation. The model data set consisted of repeat station data from 1985 to 2015 epoch. The geostatistical methods utilized included ordinary kriging (OK), collocated cokriging (CC), and kriging with external drift (KED). The model generated using these geostatistical methods was then compared to spherical cap harmonic analyses (SCHA) and polynomial models. The geostatistical model was shown to perform better, with greater accuracy in declination, inclination, and total intensity, as indicated by the root mean square error (RMSE). We have demonstrated that the geostatistical method is a promising approach in the modeling of regional geomagnetic field, especially in areas with limited and clustered distributed data. © 2022, The Author(s). Nature Research 2022 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/282906/1/s41598-022-10362-1.pdf Syirojudin, Muhamad and Haryono, Eko and Ahadi, Suaidi (2022) The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting. Scientific Reports, 12 (1). https://api.mendeley.com/cross_publisher_access/v2/link_resolver?t=eyJlbmMiOiJBMjU2R0NNIiwiYWxnIjoiQTE5MktXIn0.I4ojzjkKudYatgUZ4_-VUx2eur7xmZKZeb-qmFM0VYAqVNvb58vVfA.Y2IKDiliAiD3_xxm.mdeTa83oNaBHbhznKFccWlOKS4OSw3D4WTO8T7bq47ofWDTgdFPL5SIFZC67CshX6mt6jkYJE3qbtddDI8oBoXqDl0Ty4AUeJAnBe62drgg-MQQ1kzopjo3nJd_2I1C_WSFy4eEPei2hY67qReNHM8uzWGIF67J4xLNSfKzNrRVv4cICQmkEKHVATiG_TovZRxZGNyncnckeQk-Wa8jloyazQSrwCmRjaVc2Rh6ZQTf3UG_RB7lm0GDc21HLjq0dwceFeRAruVedGEcLuWlLIwCqFBrYsjaRAgeAcwVeU0EO-tS4lH-lUp1Uf3VnDmCGbNt3QBm9K5wv7DajASFOmYBh3XhfxRcJrZnpNiZfgOVkOuo6XeUhcKIktQub88MIDolbMotQc2_Yt6L41QTW6N8qZa5MWcM8wvIYV6QIFK5RuIFCh931Bj5OHEAPknpyS6tY3uW5LtV1KR8l5K_ZCj79I8c.yFPTfiu0nonVIgtzL_VLUQ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129715891&doi=10.1038%2fs41598-022-10362-1&partnerID=40&md5=f57891d12ed4e007b745f6692d152efb |
| institution |
Universitas Gadjah Mada |
| building |
UGM Library |
| continent |
Asia |
| country |
Indonesia Indonesia |
| content_provider |
UGM Library |
| collection |
Repository Civitas UGM |
| language |
English |
| topic |
Geography and Environmental Sciences |
| spellingShingle |
Geography and Environmental Sciences Syirojudin, Muhamad Haryono, Eko Ahadi, Suaidi The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting |
| description |
Indonesia as an archipelago country relies on a limited number and clustered distributed repeat station networks. This paper explores the use of geostatistical modeling to overcome this data limitation. The model data set consisted of repeat station data from 1985 to 2015 epoch. The geostatistical methods utilized included ordinary kriging (OK), collocated cokriging (CC), and kriging with external drift (KED). The model generated using these geostatistical methods was then compared to spherical cap harmonic analyses (SCHA) and polynomial models. The geostatistical model was shown to perform better, with greater accuracy in declination, inclination, and total intensity, as indicated by the root mean square error (RMSE). We have demonstrated that the geostatistical method is a promising approach in the modeling of regional geomagnetic field, especially in areas with limited and clustered distributed data. © 2022, The Author(s). |
| format |
Article PeerReviewed |
| author |
Syirojudin, Muhamad Haryono, Eko Ahadi, Suaidi |
| author_facet |
Syirojudin, Muhamad Haryono, Eko Ahadi, Suaidi |
| author_sort |
Syirojudin, Muhamad |
| title |
The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting |
| title_short |
The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting |
| title_full |
The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting |
| title_fullStr |
The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting |
| title_full_unstemmed |
The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting |
| title_sort |
accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting |
| publisher |
Nature Research |
| publishDate |
2022 |
| url |
https://repository.ugm.ac.id/282906/1/s41598-022-10362-1.pdf https://repository.ugm.ac.id/282906/ https://api.mendeley.com/cross_publisher_access/v2/link_resolver?t=eyJlbmMiOiJBMjU2R0NNIiwiYWxnIjoiQTE5MktXIn0.I4ojzjkKudYatgUZ4_-VUx2eur7xmZKZeb-qmFM0VYAqVNvb58vVfA.Y2IKDiliAiD3_xxm.mdeTa83oNaBHbhznKFccWlOKS4OSw3D4WTO8T7bq47ofWDTgdFPL5SIFZC67CshX6mt6jkYJE3qbtddDI8oBoXqDl0Ty4AUeJAnBe62drgg-MQQ1kzopjo3nJd_2I1C_WSFy4eEPei2hY67qReNHM8uzWGIF67J4xLNSfKzNrRVv4cICQmkEKHVATiG_TovZRxZGNyncnckeQk-Wa8jloyazQSrwCmRjaVc2Rh6ZQTf3UG_RB7lm0GDc21HLjq0dwceFeRAruVedGEcLuWlLIwCqFBrYsjaRAgeAcwVeU0EO-tS4lH-lUp1Uf3VnDmCGbNt3QBm9K5wv7DajASFOmYBh3XhfxRcJrZnpNiZfgOVkOuo6XeUhcKIktQub88MIDolbMotQc2_Yt6L41QTW6N8qZa5MWcM8wvIYV6QIFK5RuIFCh931Bj5OHEAPknpyS6tY3uW5LtV1KR8l5K_ZCj79I8c.yFPTfiu0nonVIgtzL_VLUQ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129715891&doi=10.1038%2fs41598-022-10362-1&partnerID=40&md5=f57891d12ed4e007b745f6692d152efb |
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