TY  - 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 .