Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging
Samo za registrovane korisnike
2013
Autori
Bajat, BranislavPejović, Milutin
Luković, Jelena
Manojlović, Predrag
Ducić, Vladan
Mustafić, Sanja
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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.
Izvor:
Theoretical and Applied Climatology, 2013, 112, 1-2, 1-13Izdavač:
- Springer Wien, Wien
Finansiranje / projekti:
- Uloga i implementacija državnog prostornog plana i regionalnih razvojnih dokumenata u obnovi strateškog istraživanja, mišljenja i upravljanja u Srbiji (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-47014)
- Primena GNSS i LIDAR tehnologije u monitoringu stabilnosti infrastrukturnih objekata i terena (RS-MESTD-Technological Development (TD or TR)-36009)
- Istraživanje klimatskih promena i njihovog uticaja na životnu sredinu - praćenje uticaja, adaptacija i ublažavanje (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-43007)
DOI: 10.1007/s00704-012-0702-2
ISSN: 0177-798X
WoS: 000316574700001
Scopus: 2-s2.0-84875287689
Kolekcije
Institucija/grupa
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 .