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Nearest tri-points interpolation (NTPI) technique
Other Title(s)
تقنية الاستكمال لأقرب ثلاث نقاط
Author
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 26, Issue 8 (31 Aug. 2018), pp.115-125, 11 p.
Publisher
Publication Date
2018-08-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Abstract EN
Numerous methods have been proposed to interpolate and extrapolate of missing temporal data series such as rainfall, temperature, humidity, runoff storms…etc.
Whereas there are many of other method for estimating spatial missing data such as groundwater levels and topography.
On the other hand,many methods were developed to evaluate their efficiencies,but the uncertainty of results is rarely calculated.
In this study, three interpolation methods have been compared to estimate missing spatial topographical data in the ancient Babylon City.
The model domain was discretized into a number of horizontal (19) cells and vertical (23) cells.
Five observed elevation remarks were used to estimate the unknown elevations of 257 remarks.
The new method namely Nearest Tri-Point Interpolation (NTPI) was compared with the Inverse Distance Weighting (IDW) and surfer techniques.
The efficiency of these techniques was calculated by the Average Error (AE) and Standard of Deviation (SD).
The (NTPI) technique offers results of less AE and SD as well as more accuracy in ground surface elevations distribution
American Psychological Association (APA)
Ali, Arkan Radi. 2018. Nearest tri-points interpolation (NTPI) technique. Journal of University of Babylon for Engineering Sciences،Vol. 26, no. 8, pp.115-125.
https://search.emarefa.net/detail/BIM-917933
Modern Language Association (MLA)
Ali, Arkan Radi. Nearest tri-points interpolation (NTPI) technique. Journal of University of Babylon for Engineering Sciences Vol. 26, no. 8 (2018), pp.115-125.
https://search.emarefa.net/detail/BIM-917933
American Medical Association (AMA)
Ali, Arkan Radi. Nearest tri-points interpolation (NTPI) technique. Journal of University of Babylon for Engineering Sciences. 2018. Vol. 26, no. 8, pp.115-125.
https://search.emarefa.net/detail/BIM-917933
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 123-124
Record ID
BIM-917933