The Application of DBSCAN Algorithm to Improve Variogram Estimation and Interpretation in Irregularly-Sampled Fields
| Autor: | Oyinkepreye D. Orodu, O. O. Mosobalaje, David O. Ogbe |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783030617011 ICAI |
| DOI: | 10.1007/978-3-030-61702-8_20 |
| Popis: | The empirical variogram is a measure of spatial data correlation in geostatistical modeling and simulations. Typically, the empirical variogram is estimated for some defined lag intervals by applying method of moments on an underlying variogram cloud. Depending on the distribution of pair-wise lag values, the variogram cloud of an irregularly-sampled field may exhibit clusteredness. Issues of noisy, uninterpretable and inconsistent empirical variogram plots are commonly encountered in cases of irregularly-sampled fields with clustered variogram clouds. An insightful diagnosis of these problems and a practical solution are the subject of this paper. This research establishes the fact that these problems are caused by the neglect of variogram cloud cluster configurations when defining lag intervals. It is here shown that such neglect hinders the optimal use of spatial correlation information present in variogram clouds. Specifically, four sub-optimal effects are articulated in this paper as the consequence of the neglect. |
| Databáze: | OpenAIRE |
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