Application of kriging methode the example Krupanj municipality, Serbia
Само за регистроване кориснике
2010
Аутори
Perović, VeljkoJaramaz, Darko
Saljnikov, Elmira
Čakmak, Dragan
Zivotic, Ljubomir
Mrvić, Vesna
Kostić, Ljiljana
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
The basic idea of geostatistics is the use of spatial coorelation under the spatial property which is analysed in order to improve its spatial interpolation. There is number of geostatistical methods for the interpolation of the spatial data. In the paper using of Kriging method, which belongs to the often used geostatistical techniques in cartography is discussed. Kriging as a method contains a number of techniques, such as: simple kriging, ordinary kriging, indicator kriging, universal kriging and disjunctive kriging. Kriging estimation is based on the use of data from the control points, which are assigned to the corresponding coefficients. Control points actually represent sampling sites with their characteristics. Area was explored us Krupanj, located in the western part of Serbia. Krupanj lies at 44 ° 21 '34 " latitude and 19 ° 21' 26" longitude. The area of 342 km2 was rfesearched where 800 samples of surface soil were taken for further analysis. The data obtained were proceeded... to thematic maps (pH in nKCl, K2O, P2O5, and humus). During data processing we used the ArcGIS program and its extension Geostatistical Analyst. In a given extension the ordinary kriging with irregular arrangement of points was used. The technique of ordinary kriging assumes that the local mean value is not close or equal to the mean value of total nimber of sampling points. The estimation was made only based on the nearest sampling points. After the completion of the assessment in the selected grid, the determination of the predicted and actual error estimates, which convirms the reliability estimates and the spatial quality of the selected model was computed using the algotithm. Assessment must be impartial and made so that the variance of the difference between actual and estimated values in selected points of the smallest possible. The obtained two-dimensional maps created from the data of measuring points may overlap and analyzed with any other layer in a GIS environment, covering the investigated area. Furthermore, in a very simple manner, an existing map can be classified to the optimal number of classes depending on the desired level of separation of individual characteristics. Kriging is the optimal method of interpolation because it provides the best estimate of the unchanged values of parameter in analysed point, where interpolated values correspond to the values of parameters in the points with the performed measurements. The advantage of kriging method was allowed estimation of variance for each sampling location that is displayed on maps or diagrams with kriging errors reliability estimates. In pedologic heterogeneous region, kriging analysis can help identify causes of change and planning of optimal sampling schemes for the required degree of reliability of these estimates. Therefore this method can be recommended for assessment and mapping of unsampled regions.
Кључне речи:
kriging, / kriging, geostatistics, layersИзвор:
International congress European Geosciences Union General Assambly, 2010, 6574-Издавач:
- European Geosciences Union
Институција/група
Institut za multidisciplinarna istraživanjaTY - CONF AU - Perović, Veljko AU - Jaramaz, Darko AU - Saljnikov, Elmira AU - Čakmak, Dragan AU - Zivotic, Ljubomir AU - Mrvić, Vesna AU - Kostić, Ljiljana PY - 2010 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/2757 AB - The basic idea of geostatistics is the use of spatial coorelation under the spatial property which is analysed in order to improve its spatial interpolation. There is number of geostatistical methods for the interpolation of the spatial data. In the paper using of Kriging method, which belongs to the often used geostatistical techniques in cartography is discussed. Kriging as a method contains a number of techniques, such as: simple kriging, ordinary kriging, indicator kriging, universal kriging and disjunctive kriging. Kriging estimation is based on the use of data from the control points, which are assigned to the corresponding coefficients. Control points actually represent sampling sites with their characteristics. Area was explored us Krupanj, located in the western part of Serbia. Krupanj lies at 44 ° 21 '34 " latitude and 19 ° 21' 26" longitude. The area of 342 km2 was rfesearched where 800 samples of surface soil were taken for further analysis. The data obtained were proceeded to thematic maps (pH in nKCl, K2O, P2O5, and humus). During data processing we used the ArcGIS program and its extension Geostatistical Analyst. In a given extension the ordinary kriging with irregular arrangement of points was used. The technique of ordinary kriging assumes that the local mean value is not close or equal to the mean value of total nimber of sampling points. The estimation was made only based on the nearest sampling points. After the completion of the assessment in the selected grid, the determination of the predicted and actual error estimates, which convirms the reliability estimates and the spatial quality of the selected model was computed using the algotithm. Assessment must be impartial and made so that the variance of the difference between actual and estimated values in selected points of the smallest possible. The obtained two-dimensional maps created from the data of measuring points may overlap and analyzed with any other layer in a GIS environment, covering the investigated area. Furthermore, in a very simple manner, an existing map can be classified to the optimal number of classes depending on the desired level of separation of individual characteristics. Kriging is the optimal method of interpolation because it provides the best estimate of the unchanged values of parameter in analysed point, where interpolated values correspond to the values of parameters in the points with the performed measurements. The advantage of kriging method was allowed estimation of variance for each sampling location that is displayed on maps or diagrams with kriging errors reliability estimates. In pedologic heterogeneous region, kriging analysis can help identify causes of change and planning of optimal sampling schemes for the required degree of reliability of these estimates. Therefore this method can be recommended for assessment and mapping of unsampled regions. PB - European Geosciences Union C3 - International congress European Geosciences Union General Assambly T1 - Application of kriging methode the example Krupanj municipality, Serbia SP - 6574 UR - https://hdl.handle.net/21.15107/rcub_rimsi_2757 ER -
@conference{ author = "Perović, Veljko and Jaramaz, Darko and Saljnikov, Elmira and Čakmak, Dragan and Zivotic, Ljubomir and Mrvić, Vesna and Kostić, Ljiljana", year = "2010", abstract = "The basic idea of geostatistics is the use of spatial coorelation under the spatial property which is analysed in order to improve its spatial interpolation. There is number of geostatistical methods for the interpolation of the spatial data. In the paper using of Kriging method, which belongs to the often used geostatistical techniques in cartography is discussed. Kriging as a method contains a number of techniques, such as: simple kriging, ordinary kriging, indicator kriging, universal kriging and disjunctive kriging. Kriging estimation is based on the use of data from the control points, which are assigned to the corresponding coefficients. Control points actually represent sampling sites with their characteristics. Area was explored us Krupanj, located in the western part of Serbia. Krupanj lies at 44 ° 21 '34 " latitude and 19 ° 21' 26" longitude. The area of 342 km2 was rfesearched where 800 samples of surface soil were taken for further analysis. The data obtained were proceeded to thematic maps (pH in nKCl, K2O, P2O5, and humus). During data processing we used the ArcGIS program and its extension Geostatistical Analyst. In a given extension the ordinary kriging with irregular arrangement of points was used. The technique of ordinary kriging assumes that the local mean value is not close or equal to the mean value of total nimber of sampling points. The estimation was made only based on the nearest sampling points. After the completion of the assessment in the selected grid, the determination of the predicted and actual error estimates, which convirms the reliability estimates and the spatial quality of the selected model was computed using the algotithm. Assessment must be impartial and made so that the variance of the difference between actual and estimated values in selected points of the smallest possible. The obtained two-dimensional maps created from the data of measuring points may overlap and analyzed with any other layer in a GIS environment, covering the investigated area. Furthermore, in a very simple manner, an existing map can be classified to the optimal number of classes depending on the desired level of separation of individual characteristics. Kriging is the optimal method of interpolation because it provides the best estimate of the unchanged values of parameter in analysed point, where interpolated values correspond to the values of parameters in the points with the performed measurements. The advantage of kriging method was allowed estimation of variance for each sampling location that is displayed on maps or diagrams with kriging errors reliability estimates. In pedologic heterogeneous region, kriging analysis can help identify causes of change and planning of optimal sampling schemes for the required degree of reliability of these estimates. Therefore this method can be recommended for assessment and mapping of unsampled regions.", publisher = "European Geosciences Union", journal = "International congress European Geosciences Union General Assambly", title = "Application of kriging methode the example Krupanj municipality, Serbia", pages = "6574", url = "https://hdl.handle.net/21.15107/rcub_rimsi_2757" }
Perović, V., Jaramaz, D., Saljnikov, E., Čakmak, D., Zivotic, L., Mrvić, V.,& Kostić, L.. (2010). Application of kriging methode the example Krupanj municipality, Serbia. in International congress European Geosciences Union General Assambly European Geosciences Union., 6574. https://hdl.handle.net/21.15107/rcub_rimsi_2757
Perović V, Jaramaz D, Saljnikov E, Čakmak D, Zivotic L, Mrvić V, Kostić L. Application of kriging methode the example Krupanj municipality, Serbia. in International congress European Geosciences Union General Assambly. 2010;:6574. https://hdl.handle.net/21.15107/rcub_rimsi_2757 .
Perović, Veljko, Jaramaz, Darko, Saljnikov, Elmira, Čakmak, Dragan, Zivotic, Ljubomir, Mrvić, Vesna, Kostić, Ljiljana, "Application of kriging methode the example Krupanj municipality, Serbia" in International congress European Geosciences Union General Assambly (2010):6574, https://hdl.handle.net/21.15107/rcub_rimsi_2757 .