GERY - Faculty of Geography Repository
University of Belgrade - Faculty of Geography
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   GERY
  • Geografski fakultet
  • Radovi istraživača
  • View Item
  •   GERY
  • Geografski fakultet
  • Radovi istraživača
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging

Authorized Users Only
2013
Authors
Bajat, Branislav
Pejović, Milutin
Luković, Jelena
Manojlović, Predrag
Ducić, Vladan
Mustafić, Sanja
Article (Published version)
Metadata
Show full item record
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.
Source:
Theoretical and Applied Climatology, 2013, 112, 1-2, 1-13
Publisher:
  • 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
[ Google Scholar ]
39
34
Handle
https://hdl.handle.net/21.15107/rcub_gery_560
URI
https://gery.gef.bg.ac.rs/handle/123456789/560
Collections
  • Radovi istraživača
Institution/Community
Geografski fakultet
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 .

DSpace software copyright © 2002-2015  DuraSpace
About GERY - GEography RepositoRY | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About GERY - GEography RepositoRY | Send Feedback

OpenAIRERCUB