2018
DOI: 10.3390/geosciences8120433
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Kriging Method Optimization for the Process of DTM Creation Based on Huge Data Sets Obtained from MBESs

Abstract: The paper presents an optimized method of digital terrain model (DTM) estimation based on modified kriging interpolation. Many methods are used for digital terrain model creation; the most popular methods are: inverse distance weighing, nearest neighbour, moving average, and kriging. The latter is often considered to be one of the best methods for interpolation of non-uniform spatial data, but the good results with respect to model’s accuracy come at the price of very long computational time. In this study, th… Show more

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Cited by 24 publications
(19 citation statements)
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References 19 publications
(21 reference statements)
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“…Basically, this method has similar algorithm as cross-validation, where data or group of data has been "deleted" and estimation is done from the rest. Such re-sampling method is characterized with standard error (e.g., [30,31,32]) and can be used as one of the improvements in the basic Kriging techniques or data intended to interpolate using the Kriging (e.g., digital terrain model, DTM, data, like in [33]). In this study it had been applied for each variogram class (step), which was calculated several times.…”
Section: Resultsmentioning
confidence: 99%
“…Basically, this method has similar algorithm as cross-validation, where data or group of data has been "deleted" and estimation is done from the rest. Such re-sampling method is characterized with standard error (e.g., [30,31,32]) and can be used as one of the improvements in the basic Kriging techniques or data intended to interpolate using the Kriging (e.g., digital terrain model, DTM, data, like in [33]). In this study it had been applied for each variogram class (step), which was calculated several times.…”
Section: Resultsmentioning
confidence: 99%
“…Basically, this method has a similar algorithm as cross-validation, where data or groups of data have been "deleted" and the estimation is done from the rest. Such a re-sampling method is characterized by standard error (e.g., [40][41][42]) and can be used as one of the improvements in the basic kriging techniques or data intended to interpolate using kriging (e.g., digital terrain model (DTM) data, as in [43]).…”
Section: Variogram Analysis and Ordinary Kriging Of Porositymentioning
confidence: 99%
“…The large number of measurements in this method enable the application of numerous algorithms with different mathematical complexities. However, Kriging, which uses different techniques, seems to be the most appropriate interpolation in most large datasets, such as in the creation of a digital terrain model [14]. However, even in such applications, methods like the modified Shepard's method could be used, but their selection criteria, such as the homogeneity, variance, and density of their data, need to be clear [14].…”
Section: Introductionmentioning
confidence: 99%