Araştırma Makalesi
BibTex RIS Kaynak Göster

An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points

Yıl 2019, Cilt: 21 Sayı: 1, 81 - 93, 15.03.2019
https://doi.org/10.25092/baunfbed.522967

Öz

In this study, simulated fault plane geodetic points are analyzed by using spatial statistics. The synthetic geodetic points are generated to understand the basic spatial structure of the fault plane because of the difficulty about obtaining real data set. The spatial statistics are applied to geodetic point data with three main items: (i) spatial descriptive statistics, e.g. spatial mean (center mean-CM), standard distance (SD), standard deviational ellipse (SDE), (ii) spatial pattern analyses, e.g. quadrat count method, the nearest neighbor approach, (iii) spatial autocorrelation, e.g. Moran’s I index. It is seen from the application results that spatial autocorrelation should be taken into consideration during the spatial analysis of geodetic point data to understand if the surface displacements on the locations are clustered or not. 

Kaynakça

  • Cressie, N.A.C., Statistics for Spatial Data, John Wiley and Sons, (1990).
  • Moller, J., Spatial Statistics and Computational Methods, SpringerVerlag, NewYork, LectureNotes in Statistics, (2003).
  • Fischer, M.M. and Wang, J., Spatial Data Analysis, Models, Methods and Techniques, Springer, (2011).
  • Oyana, T.J. and Margai, F.M., Spatial Analysis, Statistics, Visualization, and Computational Methods, CRC Press, (2016).
  • Zimeras, S., Modeling earthquake data using spatial statistics techniques, Proceedings of the 1st IASME / WSEAS International Conference on Geology and Seismology (GES'07), Portoroz, Slovenia, 33-36, (2007).
  • Sarp, G., Düzgün, S. and Toprak, V., Spatial Analysis of Earthquake Epicenters in; North-West of Ankara, International Conference on Environment: Survival and Sustainability, Near East University, Nicosia-Northern Cyprus, 4619-4633, (2007).
  • Al-Ahmadi, K., Al-Amri, A. and See, L., A spatial statistical analysis of the occurrence of earthquakes along the Red Sea floor spreading: clusters of seismicity, Arabian Journal of Geosciences, 7(7), 2893-2904, (2013).
  • Tağıl, Ş. and Alevkayalı, Ç., Earthquake Spatial Distribution in the Egean Region, Turkey: The Geostatistical Approach, The Journal of International Social Research, 6(28), 369-379, (2013).
  • Affan, M., Syukri, M., Wahyuna, L. and Sofyan, H., Spatial Statistic Analysis of Earthquakes in Aceh Province Year 1921-2014: Cluster Seismicity, Aceh International Journal of Science and Technology, 5(2), 54-62, (2016).
  • Menteşe, S. and Tağıl, Ş., The Spatial Distribution of Earthquakes in Turkey: A Geostatistical and Spatial Statistical Approach, The Journal of International Social Research, 9(45), 408-414, (2016).
  • Al-Dogom, D., Schuckma, K. and Al-Ruzouq, R., Geostatistical Seismic Analysis and Hazard Assessment; United Arab Emirates, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 29-36, (2018).
  • Türkşen, Ö., The Adaptive Simulated Annealing Method in Estimation of Earthquake Source Parameters Through Surface Measurements, Ms.Thesis, Ankara, (2005).
  • Türkşen, Ö. and Apaydın, A., Estimating The Earthquake Source Parameters: Simulated Annealing Versus Nelder-Mead Simplex Algorithm, Communications Faculty of Sciences University of Ankara, Series A1, 62(2), 53-66, (2013).
  • Türkşen, Ö. Estimation of Fault Plane Parameters by Using Stochastic Optimization Methods, International Journal of Earthquake Engineering and Hazard Mitigation, 2(2), 61-66, (2014).
  • Anselin, L., Murray, A.T. and Rey, S.J., Spatial Analysis, The Oxford Handbook of Quantitative Methods (Edited by T.D. Little), Oxford University Press, (2013).
  • Moran, P.A.P., The interpretation of statistical maps, Biometrika, 35, 255-260 (1948).
  • Moran, P.A.P., Notes on continuous stochastic phenomena, Biometrika, 37, 17-23 (1950).

Mekansal istatistiklerin bir uygulaması: Simule edilmiş fay düzlemine ilişkin jeodezik noktaların mekansal analizi

Yıl 2019, Cilt: 21 Sayı: 1, 81 - 93, 15.03.2019
https://doi.org/10.25092/baunfbed.522967

Öz

Bu çalışmada, mekansal istatistikler kullanılarak simule edilmiş fay düzlemine ilişkin jeodezik noktalar analiz edilmiştir. Fay düzleminin temel mekansal yapısını anlamak için gerçek verilerin elde edilmesinin zor olması nedeniyle yapay jeodezik noktalar üretilmiştir. Mekansal istatistikler, jeodezik nokta verilerine üç temel başlıkta uygulanmıştır. (i) mekansal betimsel istatistikler (mekansal ortalama, standart uzaklık, standart sapmalı elips), (ii) mekansal örüntü analizi (kuadrat sayma yöntemi, en yakın komşuluk yaklaşımı), (iii) mekansal otokorelasyon  (Moran’ ın I indeksi). Analiz sonuçlarından, jeodezik nokta verilerine mekansal analiz uygulanırken, yüzey yer değişimlerinin jeodezik noktalardaki konumuna bağlı olarak kümelenip, kümelenmediği anlamak için mekansal otokorelasyonun dikkate alınması gerektiği görülmüştür.

Kaynakça

  • Cressie, N.A.C., Statistics for Spatial Data, John Wiley and Sons, (1990).
  • Moller, J., Spatial Statistics and Computational Methods, SpringerVerlag, NewYork, LectureNotes in Statistics, (2003).
  • Fischer, M.M. and Wang, J., Spatial Data Analysis, Models, Methods and Techniques, Springer, (2011).
  • Oyana, T.J. and Margai, F.M., Spatial Analysis, Statistics, Visualization, and Computational Methods, CRC Press, (2016).
  • Zimeras, S., Modeling earthquake data using spatial statistics techniques, Proceedings of the 1st IASME / WSEAS International Conference on Geology and Seismology (GES'07), Portoroz, Slovenia, 33-36, (2007).
  • Sarp, G., Düzgün, S. and Toprak, V., Spatial Analysis of Earthquake Epicenters in; North-West of Ankara, International Conference on Environment: Survival and Sustainability, Near East University, Nicosia-Northern Cyprus, 4619-4633, (2007).
  • Al-Ahmadi, K., Al-Amri, A. and See, L., A spatial statistical analysis of the occurrence of earthquakes along the Red Sea floor spreading: clusters of seismicity, Arabian Journal of Geosciences, 7(7), 2893-2904, (2013).
  • Tağıl, Ş. and Alevkayalı, Ç., Earthquake Spatial Distribution in the Egean Region, Turkey: The Geostatistical Approach, The Journal of International Social Research, 6(28), 369-379, (2013).
  • Affan, M., Syukri, M., Wahyuna, L. and Sofyan, H., Spatial Statistic Analysis of Earthquakes in Aceh Province Year 1921-2014: Cluster Seismicity, Aceh International Journal of Science and Technology, 5(2), 54-62, (2016).
  • Menteşe, S. and Tağıl, Ş., The Spatial Distribution of Earthquakes in Turkey: A Geostatistical and Spatial Statistical Approach, The Journal of International Social Research, 9(45), 408-414, (2016).
  • Al-Dogom, D., Schuckma, K. and Al-Ruzouq, R., Geostatistical Seismic Analysis and Hazard Assessment; United Arab Emirates, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 29-36, (2018).
  • Türkşen, Ö., The Adaptive Simulated Annealing Method in Estimation of Earthquake Source Parameters Through Surface Measurements, Ms.Thesis, Ankara, (2005).
  • Türkşen, Ö. and Apaydın, A., Estimating The Earthquake Source Parameters: Simulated Annealing Versus Nelder-Mead Simplex Algorithm, Communications Faculty of Sciences University of Ankara, Series A1, 62(2), 53-66, (2013).
  • Türkşen, Ö. Estimation of Fault Plane Parameters by Using Stochastic Optimization Methods, International Journal of Earthquake Engineering and Hazard Mitigation, 2(2), 61-66, (2014).
  • Anselin, L., Murray, A.T. and Rey, S.J., Spatial Analysis, The Oxford Handbook of Quantitative Methods (Edited by T.D. Little), Oxford University Press, (2013).
  • Moran, P.A.P., The interpretation of statistical maps, Biometrika, 35, 255-260 (1948).
  • Moran, P.A.P., Notes on continuous stochastic phenomena, Biometrika, 37, 17-23 (1950).
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Özlem Türkşen 0000-0002-5592-1830

Yayımlanma Tarihi 15 Mart 2019
Gönderilme Tarihi 25 Eylül 2018
Yayımlandığı Sayı Yıl 2019 Cilt: 21 Sayı: 1

Kaynak Göster

APA Türkşen, Ö. (2019). An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 21(1), 81-93. https://doi.org/10.25092/baunfbed.522967
AMA Türkşen Ö. An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points. BAUN Fen. Bil. Enst. Dergisi. Mart 2019;21(1):81-93. doi:10.25092/baunfbed.522967
Chicago Türkşen, Özlem. “An Application of Spatial Statistics: Spatial Analysis of Simulated Fault Plane Geodetic Points”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 21, sy. 1 (Mart 2019): 81-93. https://doi.org/10.25092/baunfbed.522967.
EndNote Türkşen Ö (01 Mart 2019) An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 21 1 81–93.
IEEE Ö. Türkşen, “An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points”, BAUN Fen. Bil. Enst. Dergisi, c. 21, sy. 1, ss. 81–93, 2019, doi: 10.25092/baunfbed.522967.
ISNAD Türkşen, Özlem. “An Application of Spatial Statistics: Spatial Analysis of Simulated Fault Plane Geodetic Points”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 21/1 (Mart 2019), 81-93. https://doi.org/10.25092/baunfbed.522967.
JAMA Türkşen Ö. An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points. BAUN Fen. Bil. Enst. Dergisi. 2019;21:81–93.
MLA Türkşen, Özlem. “An Application of Spatial Statistics: Spatial Analysis of Simulated Fault Plane Geodetic Points”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 21, sy. 1, 2019, ss. 81-93, doi:10.25092/baunfbed.522967.
Vancouver Türkşen Ö. An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points. BAUN Fen. Bil. Enst. Dergisi. 2019;21(1):81-93.