Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging
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2013
Authors
Bajat, Branislav
Pejović, Milutin
Luković, Jelena

Manojlović, Predrag
Ducić, Vladan

Mustafić, Sanja

Article (Published version)

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The appearence of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of meteorological elements over large areas in the applied climatology. The objective of this study is to use geostatistics to characterize the spatial structure and map the spatial variation of average values of precipitation for a 30-year period in Serbia. New, recently introduced, geostatistical algorithms facilitate utilization of auxiliary variables especially remote sensing data or freely available global datasets. The data from Advanced Spaceborn Thermal Emission and Reflection Radiometer global digital elevation model are incorporated as ancillary variables into spatial prediction of average annual precipitation using geostatistical method known as regression kriging. The R (2) value of 0.842 proves high performance result of the prediction of the proposed method.
Source:
Theoretical and Applied Climatology, 2013, 112, 1-2, 1-13Publisher:
- Springer Wien, Wien
Funding / projects:
- The role and implementation of the national spatial plan and regional development documents in renewal of strategic research, thinking and governance in Serbia (RS-47014)
- The application of GNSS and LIDAR technology for infrastructure facilities and terrain stability monitoring (RS-36009)
- Studying climate change and its influence on environment: impacts, adaptation and mitigation (RS-43007)
DOI: 10.1007/s00704-012-0702-2
ISSN: 0177-798X
WoS: 000316574700001
Scopus: 2-s2.0-84875287689
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Institution/Community
Geografski fakultetTY - JOUR AU - Bajat, Branislav AU - Pejović, Milutin AU - Luković, Jelena AU - Manojlović, Predrag AU - Ducić, Vladan AU - Mustafić, Sanja PY - 2013 UR - https://gery.gef.bg.ac.rs/handle/123456789/560 AB - The appearence of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of meteorological elements over large areas in the applied climatology. The objective of this study is to use geostatistics to characterize the spatial structure and map the spatial variation of average values of precipitation for a 30-year period in Serbia. New, recently introduced, geostatistical algorithms facilitate utilization of auxiliary variables especially remote sensing data or freely available global datasets. The data from Advanced Spaceborn Thermal Emission and Reflection Radiometer global digital elevation model are incorporated as ancillary variables into spatial prediction of average annual precipitation using geostatistical method known as regression kriging. The R (2) value of 0.842 proves high performance result of the prediction of the proposed method. PB - Springer Wien, Wien T2 - Theoretical and Applied Climatology T1 - Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging VL - 112 IS - 1-2 SP - 1 EP - 13 DO - 10.1007/s00704-012-0702-2 UR - https://hdl.handle.net/21.15107/rcub_gery_560 ER -
@article{ author = "Bajat, Branislav and Pejović, Milutin and Luković, Jelena and Manojlović, Predrag and Ducić, Vladan and Mustafić, Sanja", year = "2013", abstract = "The appearence of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of meteorological elements over large areas in the applied climatology. The objective of this study is to use geostatistics to characterize the spatial structure and map the spatial variation of average values of precipitation for a 30-year period in Serbia. New, recently introduced, geostatistical algorithms facilitate utilization of auxiliary variables especially remote sensing data or freely available global datasets. The data from Advanced Spaceborn Thermal Emission and Reflection Radiometer global digital elevation model are incorporated as ancillary variables into spatial prediction of average annual precipitation using geostatistical method known as regression kriging. The R (2) value of 0.842 proves high performance result of the prediction of the proposed method.", publisher = "Springer Wien, Wien", journal = "Theoretical and Applied Climatology", title = "Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging", volume = "112", number = "1-2", pages = "1-13", doi = "10.1007/s00704-012-0702-2", url = "https://hdl.handle.net/21.15107/rcub_gery_560" }
Bajat, B., Pejović, M., Luković, J., Manojlović, P., Ducić, V.,& Mustafić, S.. (2013). Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging. in Theoretical and Applied Climatology Springer Wien, Wien., 112(1-2), 1-13. https://doi.org/10.1007/s00704-012-0702-2 https://hdl.handle.net/21.15107/rcub_gery_560
Bajat B, Pejović M, Luković J, Manojlović P, Ducić V, Mustafić S. Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging. in Theoretical and Applied Climatology. 2013;112(1-2):1-13. doi:10.1007/s00704-012-0702-2 https://hdl.handle.net/21.15107/rcub_gery_560 .
Bajat, Branislav, Pejović, Milutin, Luković, Jelena, Manojlović, Predrag, Ducić, Vladan, Mustafić, Sanja, "Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging" in Theoretical and Applied Climatology, 112, no. 1-2 (2013):1-13, https://doi.org/10.1007/s00704-012-0702-2 ., https://hdl.handle.net/21.15107/rcub_gery_560 .