TY  - JOUR
AU  - Bajat, Branislav
AU  - Antonijević, O.
AU  - Kilibarda, Milan
AU  - Sekulić, Aleksandar
AU  - Luković, Jelena
AU  - Doljak, D.
AU  - Burić, Dragan
PY  - 2020
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1035
AB  - The assessment of the potential use of renewable energy resources requires reliable and precise data inputs for sustainable energy planning on a regional, national and local scale. In this study, we examine high spatial resolution grids of potential insolation and solar duration in order to determine the location of potential solar power plants in Montenegro. Grids with a 25-m spatial resolution of potential solar radiation and duration were produced based on observational records and publicly available high-resolution digital elevation model provided by the European Environment Agency. These results could be further used for the estimation and selection of a specific location for solar panels. With an average annual potential insolation of 1800 kWh/m² and solar duration of over 2000 h per year for most of its territory, Montenegro is one of the European countries with the highest potential for the development, production, and consumption of solar energy.
PB  - Beograd : Institut za arhitekturu i urbanizam Srbije
T2  - Spatium
T1  - Space-Time High-Resolution Data of The Potential Insolation and Solar Duration for Montenegro
IS  - 44
SP  - 45
EP  - 52
DO  - 10.2298/SPAT2044045B
UR  - https://hdl.handle.net/21.15107/rcub_gery_1035
ER  - 

@article{
author = "Bajat, Branislav and Antonijević, O. and Kilibarda, Milan and Sekulić, Aleksandar and Luković, Jelena and Doljak, D. and Burić, Dragan",
year = "2020",
abstract = "The assessment of the potential use of renewable energy resources requires reliable and precise data inputs for sustainable energy planning on a regional, national and local scale. In this study, we examine high spatial resolution grids of potential insolation and solar duration in order to determine the location of potential solar power plants in Montenegro. Grids with a 25-m spatial resolution of potential solar radiation and duration were produced based on observational records and publicly available high-resolution digital elevation model provided by the European Environment Agency. These results could be further used for the estimation and selection of a specific location for solar panels. With an average annual potential insolation of 1800 kWh/m² and solar duration of over 2000 h per year for most of its territory, Montenegro is one of the European countries with the highest potential for the development, production, and consumption of solar energy.",
publisher = "Beograd : Institut za arhitekturu i urbanizam Srbije",
journal = "Spatium",
title = "Space-Time High-Resolution Data of The Potential Insolation and Solar Duration for Montenegro",
number = "44",
pages = "45-52",
doi = "10.2298/SPAT2044045B",
url = "https://hdl.handle.net/21.15107/rcub_gery_1035"
}

Bajat, B., Antonijević, O., Kilibarda, M., Sekulić, A., Luković, J., Doljak, D.,& Burić, D.. (2020). Space-Time High-Resolution Data of The Potential Insolation and Solar Duration for Montenegro. in Spatium
Beograd : Institut za arhitekturu i urbanizam Srbije.(44), 45-52.
https://doi.org/10.2298/SPAT2044045B
https://hdl.handle.net/21.15107/rcub_gery_1035

Bajat B, Antonijević O, Kilibarda M, Sekulić A, Luković J, Doljak D, Burić D. Space-Time High-Resolution Data of The Potential Insolation and Solar Duration for Montenegro. in Spatium. 2020;(44):45-52.
doi:10.2298/SPAT2044045B
https://hdl.handle.net/21.15107/rcub_gery_1035 .

Bajat, Branislav, Antonijević, O., Kilibarda, Milan, Sekulić, Aleksandar, Luković, Jelena, Doljak, D., Burić, Dragan, "Space-Time High-Resolution Data of The Potential Insolation and Solar Duration for Montenegro" in Spatium, no. 44 (2020):45-52,
https://doi.org/10.2298/SPAT2044045B .,
https://hdl.handle.net/21.15107/rcub_gery_1035 .

TY  - JOUR
AU  - Kilibarda, Milan
AU  - Percec-Tadić, Melita
AU  - Hengl, Tomislav
AU  - Luković, Jelena
AU  - Bajat, Branislav
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/700
AB  - This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the European Climate Assessment & Dataset (ECA&D) were merged and consisted of 10,695 global stations for the year 2011. Three aspects of data quality were considered: (a) representation in the geographical domain, (b) representation in the feature space (based on the MaxEnt method), and (c) usability i.e. fitness of use for spatio-temporal interpolation based on cross-validation of spatio-temporal regression-kriging models. The results indicate significant clustering of meteorological stations in the combined data set in both geographical and feature space. The majority of the distribution of stations (84%) can be explained by population density and accessibility maps. Consequently, higher elevations areas and inaccessible areas that are sparsely populated are significantly under-represented. Under-representation also reflects on the results of spatio-temporal analysis. Spatio-temporal regression-kriging model of mean daily temperature using 8-day MODIS LST images, as covariate, produces average global accuracy of 2-3 degrees C. Prediction of temperature for polar areas and mountains is 2 times lower than for areas densely covered with meteorological stations. Balanced spatio-temporal regression models that account for station clustering are suggested.
PB  - Elsevier Sci Ltd, Oxford
T2  - Spatial Statistics
T1  - Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation
VL  - 14
SP  - 22
EP  - 38
DO  - 10.1016/j.spasta.2015.04.005
UR  - https://hdl.handle.net/21.15107/rcub_gery_700
ER  - 

@article{
author = "Kilibarda, Milan and Percec-Tadić, Melita and Hengl, Tomislav and Luković, Jelena and Bajat, Branislav",
year = "2015",
abstract = "This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the European Climate Assessment & Dataset (ECA&D) were merged and consisted of 10,695 global stations for the year 2011. Three aspects of data quality were considered: (a) representation in the geographical domain, (b) representation in the feature space (based on the MaxEnt method), and (c) usability i.e. fitness of use for spatio-temporal interpolation based on cross-validation of spatio-temporal regression-kriging models. The results indicate significant clustering of meteorological stations in the combined data set in both geographical and feature space. The majority of the distribution of stations (84%) can be explained by population density and accessibility maps. Consequently, higher elevations areas and inaccessible areas that are sparsely populated are significantly under-represented. Under-representation also reflects on the results of spatio-temporal analysis. Spatio-temporal regression-kriging model of mean daily temperature using 8-day MODIS LST images, as covariate, produces average global accuracy of 2-3 degrees C. Prediction of temperature for polar areas and mountains is 2 times lower than for areas densely covered with meteorological stations. Balanced spatio-temporal regression models that account for station clustering are suggested.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Spatial Statistics",
title = "Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation",
volume = "14",
pages = "22-38",
doi = "10.1016/j.spasta.2015.04.005",
url = "https://hdl.handle.net/21.15107/rcub_gery_700"
}

Kilibarda, M., Percec-Tadić, M., Hengl, T., Luković, J.,& Bajat, B.. (2015). Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation. in Spatial Statistics
Elsevier Sci Ltd, Oxford., 14, 22-38.
https://doi.org/10.1016/j.spasta.2015.04.005
https://hdl.handle.net/21.15107/rcub_gery_700

Kilibarda M, Percec-Tadić M, Hengl T, Luković J, Bajat B. Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation. in Spatial Statistics. 2015;14:22-38.
doi:10.1016/j.spasta.2015.04.005
https://hdl.handle.net/21.15107/rcub_gery_700 .

Kilibarda, Milan, Percec-Tadić, Melita, Hengl, Tomislav, Luković, Jelena, Bajat, Branislav, "Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation" in Spatial Statistics, 14 (2015):22-38,
https://doi.org/10.1016/j.spasta.2015.04.005 .,
https://hdl.handle.net/21.15107/rcub_gery_700 .

TY  - JOUR
AU  - Luković, Jelena
AU  - Blagojević, Dragan
AU  - Kilibarda, Milan
AU  - Bajat, Branislav
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/699
AB  - This study examines the spatial pattern of relationships between annual, seasonal and monthly rainfall in Serbia, and the North Atlantic Oscillation (NAO) for the period of 1961-2009. The first correlation analysis between rainfall and the NAO was performed using a Pearson product-moment test. Results suggested negative, mainly statistically significant correlations at annual and winter scales as was expected. However, the highest percentage of stations showed significant result in October suggesting a strong impact of a large scale atmospheric mode throughout a wet season in Serbia. Further spatial analysis that incorporated a spatial autocorrelation statistic of correlation coefficients showed significant clustering at all temporal scales.
PB  - Elsevier Sci Ltd, Oxford
T2  - Spatial Statistics
T1  - Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia
VL  - 14
SP  - 39
EP  - 52
DO  - 10.1016/j.spasta.2015.04.007
UR  - https://hdl.handle.net/21.15107/rcub_gery_699
ER  - 

@article{
author = "Luković, Jelena and Blagojević, Dragan and Kilibarda, Milan and Bajat, Branislav",
year = "2015",
abstract = "This study examines the spatial pattern of relationships between annual, seasonal and monthly rainfall in Serbia, and the North Atlantic Oscillation (NAO) for the period of 1961-2009. The first correlation analysis between rainfall and the NAO was performed using a Pearson product-moment test. Results suggested negative, mainly statistically significant correlations at annual and winter scales as was expected. However, the highest percentage of stations showed significant result in October suggesting a strong impact of a large scale atmospheric mode throughout a wet season in Serbia. Further spatial analysis that incorporated a spatial autocorrelation statistic of correlation coefficients showed significant clustering at all temporal scales.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Spatial Statistics",
title = "Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia",
volume = "14",
pages = "39-52",
doi = "10.1016/j.spasta.2015.04.007",
url = "https://hdl.handle.net/21.15107/rcub_gery_699"
}

Luković, J., Blagojević, D., Kilibarda, M.,& Bajat, B.. (2015). Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia. in Spatial Statistics
Elsevier Sci Ltd, Oxford., 14, 39-52.
https://doi.org/10.1016/j.spasta.2015.04.007
https://hdl.handle.net/21.15107/rcub_gery_699

Luković J, Blagojević D, Kilibarda M, Bajat B. Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia. in Spatial Statistics. 2015;14:39-52.
doi:10.1016/j.spasta.2015.04.007
https://hdl.handle.net/21.15107/rcub_gery_699 .

Luković, Jelena, Blagojević, Dragan, Kilibarda, Milan, Bajat, Branislav, "Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia" in Spatial Statistics, 14 (2015):39-52,
https://doi.org/10.1016/j.spasta.2015.04.007 .,
https://hdl.handle.net/21.15107/rcub_gery_699 .

TY  - JOUR
AU  - Luković, Jelena
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Filipović, Dejan
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/695
AB  - Solar radiation is a key driving force for many natural processes. At the Earth's surface solar radiation is the result of complex interactions between the atmosphere and Earth's surface. Our study highlights the development and evaluation of a data base of potential solar radiation that is based on a digital elevation model with a resolution of 90 m over Serbia. The main aim of this paper is to map solar radiation in Serbia using digital elevation model. This is so far the finest resolution being applied and presented using this model. The final results of the potential direct, diffuse and total solar radiation as well as duration of insolation databases of Serbia are portrayed as thematic maps that can be communicated and shared easily through the cartographic web map-based service.
PB  - Beograd : Univerzitet u Beogradu - Institut za nuklearne nauke Vinča
T2  - Thermal Science
T1  - High resolution grid of potential incoming solar radiation for Serbia
VL  - 19
SP  - S427
EP  - S435
DO  - 10.2298/TSCI150430134L
UR  - https://hdl.handle.net/21.15107/rcub_gery_695
ER  - 

@article{
author = "Luković, Jelena and Bajat, Branislav and Kilibarda, Milan and Filipović, Dejan",
year = "2015",
abstract = "Solar radiation is a key driving force for many natural processes. At the Earth's surface solar radiation is the result of complex interactions between the atmosphere and Earth's surface. Our study highlights the development and evaluation of a data base of potential solar radiation that is based on a digital elevation model with a resolution of 90 m over Serbia. The main aim of this paper is to map solar radiation in Serbia using digital elevation model. This is so far the finest resolution being applied and presented using this model. The final results of the potential direct, diffuse and total solar radiation as well as duration of insolation databases of Serbia are portrayed as thematic maps that can be communicated and shared easily through the cartographic web map-based service.",
publisher = "Beograd : Univerzitet u Beogradu - Institut za nuklearne nauke Vinča",
journal = "Thermal Science",
title = "High resolution grid of potential incoming solar radiation for Serbia",
volume = "19",
pages = "S427-S435",
doi = "10.2298/TSCI150430134L",
url = "https://hdl.handle.net/21.15107/rcub_gery_695"
}

Luković, J., Bajat, B., Kilibarda, M.,& Filipović, D.. (2015). High resolution grid of potential incoming solar radiation for Serbia. in Thermal Science
Beograd : Univerzitet u Beogradu - Institut za nuklearne nauke Vinča., 19, S427-S435.
https://doi.org/10.2298/TSCI150430134L
https://hdl.handle.net/21.15107/rcub_gery_695

Luković J, Bajat B, Kilibarda M, Filipović D. High resolution grid of potential incoming solar radiation for Serbia. in Thermal Science. 2015;19:S427-S435.
doi:10.2298/TSCI150430134L
https://hdl.handle.net/21.15107/rcub_gery_695 .

Luković, Jelena, Bajat, Branislav, Kilibarda, Milan, Filipović, Dejan, "High resolution grid of potential incoming solar radiation for Serbia" in Thermal Science, 19 (2015):S427-S435,
https://doi.org/10.2298/TSCI150430134L .,
https://hdl.handle.net/21.15107/rcub_gery_695 .

TY  - JOUR
AU  - Burić, Dragan
AU  - Luković, Jelena
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Živković, Nenad
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/689
AB  - More intense rainfall may cause a range of negative impacts upon society and the environment. In this study we analysed trends in extreme ETCCDI (Expert Team on Climate Change Detection and Indices) rainfall indices in Montenegro for the period between 1951 and 2010. Montenegro has been poorly studied in terms of rainfall extremes, yet it contains the wettest Mediterranean region known as Krivosije. Several indices of precipitation extremes were assessed including the number of dry days and rainfall totals in order to identify trends and possible changes. A spatial pattern relationship between extreme rainfall indices and the North Atlantic Oscillation has also been examined. The results generally suggest that the number of days with precipitation decreased while rainfall intensity increased, particularly in south-western parts of the country. A slight tendency towards intense rainfall events is suggested. The examined rainfall indices and North Atlantic Oscillation over Montenegro seemed to be directly linked to changes in one of the major large-scale circulation modes such as the NAO pattern that is particularly evident during the winter season.
PB  - Copernicus Gesellschaft Mbh, Gottingen
T2  - Natural Hazards and Earth System Sciences
T1  - Recent trends in daily rainfall extremes over Montenegro (1951-2010)
VL  - 15
IS  - 9
SP  - 2069
EP  - 2077
DO  - 10.5194/nhess-15-2069-2015
UR  - https://hdl.handle.net/21.15107/rcub_gery_689
ER  - 

@article{
author = "Burić, Dragan and Luković, Jelena and Bajat, Branislav and Kilibarda, Milan and Živković, Nenad",
year = "2015",
abstract = "More intense rainfall may cause a range of negative impacts upon society and the environment. In this study we analysed trends in extreme ETCCDI (Expert Team on Climate Change Detection and Indices) rainfall indices in Montenegro for the period between 1951 and 2010. Montenegro has been poorly studied in terms of rainfall extremes, yet it contains the wettest Mediterranean region known as Krivosije. Several indices of precipitation extremes were assessed including the number of dry days and rainfall totals in order to identify trends and possible changes. A spatial pattern relationship between extreme rainfall indices and the North Atlantic Oscillation has also been examined. The results generally suggest that the number of days with precipitation decreased while rainfall intensity increased, particularly in south-western parts of the country. A slight tendency towards intense rainfall events is suggested. The examined rainfall indices and North Atlantic Oscillation over Montenegro seemed to be directly linked to changes in one of the major large-scale circulation modes such as the NAO pattern that is particularly evident during the winter season.",
publisher = "Copernicus Gesellschaft Mbh, Gottingen",
journal = "Natural Hazards and Earth System Sciences",
title = "Recent trends in daily rainfall extremes over Montenegro (1951-2010)",
volume = "15",
number = "9",
pages = "2069-2077",
doi = "10.5194/nhess-15-2069-2015",
url = "https://hdl.handle.net/21.15107/rcub_gery_689"
}

Burić, D., Luković, J., Bajat, B., Kilibarda, M.,& Živković, N.. (2015). Recent trends in daily rainfall extremes over Montenegro (1951-2010). in Natural Hazards and Earth System Sciences
Copernicus Gesellschaft Mbh, Gottingen., 15(9), 2069-2077.
https://doi.org/10.5194/nhess-15-2069-2015
https://hdl.handle.net/21.15107/rcub_gery_689

Burić D, Luković J, Bajat B, Kilibarda M, Živković N. Recent trends in daily rainfall extremes over Montenegro (1951-2010). in Natural Hazards and Earth System Sciences. 2015;15(9):2069-2077.
doi:10.5194/nhess-15-2069-2015
https://hdl.handle.net/21.15107/rcub_gery_689 .

Burić, Dragan, Luković, Jelena, Bajat, Branislav, Kilibarda, Milan, Živković, Nenad, "Recent trends in daily rainfall extremes over Montenegro (1951-2010)" in Natural Hazards and Earth System Sciences, 15, no. 9 (2015):2069-2077,
https://doi.org/10.5194/nhess-15-2069-2015 .,
https://hdl.handle.net/21.15107/rcub_gery_689 .

TY  - JOUR
AU  - Bajat, Branislav
AU  - Blagojević, Dragan
AU  - Kilibarda, Milan
AU  - Luković, Jelena
AU  - Tosić, Ivana
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/668
AB  - The spatial analysis of annual and seasonal temperature trends in Serbia during the period 1961-2010 was carried out using mean monthly data from 64 meteorological stations. Change year detection was achieved using cumulative sum charts. The magnitude of trends was derived from the slopes of linear trends using the least square method. The same formalism of least square method was used to assess the statistical significance of the determined trends. Maps of temperature trends were generated by applying a spatial regression method to visualize the detected tendencies. The obtained results indicate a negative temperature trend for the period before the change year except for winter and a more pronounced positive trend after the change year. Besides being more pronounced, the vast majority of trends after the change year were also clearly statistically significant. Our estimate of the average temperature trend over Serbia is in agreement with those obtained at the global and European scale. Calculated global autocorrelation statistics (Moran's I) indicate an apparent random spatial pattern of temperature trends across the Serbia for both periods before and after the change year.
PB  - Springer Wien, Wien
T2  - Theoretical and Applied Climatology
T1  - Spatial analysis of the temperature trends in Serbia during the period 1961-2010
VL  - 121
IS  - 1-2
SP  - 289
EP  - 301
DO  - 10.1007/s00704-014-1243-7
UR  - https://hdl.handle.net/21.15107/rcub_gery_668
ER  - 

@article{
author = "Bajat, Branislav and Blagojević, Dragan and Kilibarda, Milan and Luković, Jelena and Tosić, Ivana",
year = "2015",
abstract = "The spatial analysis of annual and seasonal temperature trends in Serbia during the period 1961-2010 was carried out using mean monthly data from 64 meteorological stations. Change year detection was achieved using cumulative sum charts. The magnitude of trends was derived from the slopes of linear trends using the least square method. The same formalism of least square method was used to assess the statistical significance of the determined trends. Maps of temperature trends were generated by applying a spatial regression method to visualize the detected tendencies. The obtained results indicate a negative temperature trend for the period before the change year except for winter and a more pronounced positive trend after the change year. Besides being more pronounced, the vast majority of trends after the change year were also clearly statistically significant. Our estimate of the average temperature trend over Serbia is in agreement with those obtained at the global and European scale. Calculated global autocorrelation statistics (Moran's I) indicate an apparent random spatial pattern of temperature trends across the Serbia for both periods before and after the change year.",
publisher = "Springer Wien, Wien",
journal = "Theoretical and Applied Climatology",
title = "Spatial analysis of the temperature trends in Serbia during the period 1961-2010",
volume = "121",
number = "1-2",
pages = "289-301",
doi = "10.1007/s00704-014-1243-7",
url = "https://hdl.handle.net/21.15107/rcub_gery_668"
}

Bajat, B., Blagojević, D., Kilibarda, M., Luković, J.,& Tosić, I.. (2015). Spatial analysis of the temperature trends in Serbia during the period 1961-2010. in Theoretical and Applied Climatology
Springer Wien, Wien., 121(1-2), 289-301.
https://doi.org/10.1007/s00704-014-1243-7
https://hdl.handle.net/21.15107/rcub_gery_668

Bajat B, Blagojević D, Kilibarda M, Luković J, Tosić I. Spatial analysis of the temperature trends in Serbia during the period 1961-2010. in Theoretical and Applied Climatology. 2015;121(1-2):289-301.
doi:10.1007/s00704-014-1243-7
https://hdl.handle.net/21.15107/rcub_gery_668 .

Bajat, Branislav, Blagojević, Dragan, Kilibarda, Milan, Luković, Jelena, Tosić, Ivana, "Spatial analysis of the temperature trends in Serbia during the period 1961-2010" in Theoretical and Applied Climatology, 121, no. 1-2 (2015):289-301,
https://doi.org/10.1007/s00704-014-1243-7 .,
https://hdl.handle.net/21.15107/rcub_gery_668 .

TY  - JOUR
AU  - Luković, Jelena
AU  - Bajat, Branislav
AU  - Blagojević, Dragan
AU  - Kilibarda, Milan
PY  - 2014
UR  - https://gery.gef.bg.ac.rs/handle/123456789/641
AB  - This paper examines a spatial pattern of annual, seasonal and monthly rainfall trends in Serbia. The study used data from 63 weather stations between the period of 1961-2009. The rainfall series was examined by applying the nonparametric method of the Mann-Kendall test and Sen's method to determine the significance and magnitude of the trends. Significant trends have not been detected for the whole country at an annual scale. Seasonal trends at the confidence level of 97.5 %, however, indicate a slight decrease in winter (5 stations out of 63) and spring (7 stations out of 63) precipitation and an increase in autumn precipitation (10 stations out of 63). Results for monthly rainfall trends also generally showed a nonsignificant trend with the exception of a negative trend in May (6 stations out of 63) and positive trend for October (9 stations out of 63). Calculated global autocorrelation statistics (Moran's I) indicate a random spatial pattern of rainfall trends on annual, seasonal and monthly timescales with exceptions for March, June and November. Overall, results suggest that only weak, mostly nonsignificant trends are present in Serbia in the period 1961-2009.
PB  - Springer Heidelberg, Heidelberg
T2  - Regional Environmental Change
T1  - Spatial pattern of recent rainfall trends in Serbia (1961-2009)
VL  - 14
IS  - 5
SP  - 1789
EP  - 1799
DO  - 10.1007/s10113-013-0459-x
UR  - https://hdl.handle.net/21.15107/rcub_gery_641
ER  - 

@article{
author = "Luković, Jelena and Bajat, Branislav and Blagojević, Dragan and Kilibarda, Milan",
year = "2014",
abstract = "This paper examines a spatial pattern of annual, seasonal and monthly rainfall trends in Serbia. The study used data from 63 weather stations between the period of 1961-2009. The rainfall series was examined by applying the nonparametric method of the Mann-Kendall test and Sen's method to determine the significance and magnitude of the trends. Significant trends have not been detected for the whole country at an annual scale. Seasonal trends at the confidence level of 97.5 %, however, indicate a slight decrease in winter (5 stations out of 63) and spring (7 stations out of 63) precipitation and an increase in autumn precipitation (10 stations out of 63). Results for monthly rainfall trends also generally showed a nonsignificant trend with the exception of a negative trend in May (6 stations out of 63) and positive trend for October (9 stations out of 63). Calculated global autocorrelation statistics (Moran's I) indicate a random spatial pattern of rainfall trends on annual, seasonal and monthly timescales with exceptions for March, June and November. Overall, results suggest that only weak, mostly nonsignificant trends are present in Serbia in the period 1961-2009.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Regional Environmental Change",
title = "Spatial pattern of recent rainfall trends in Serbia (1961-2009)",
volume = "14",
number = "5",
pages = "1789-1799",
doi = "10.1007/s10113-013-0459-x",
url = "https://hdl.handle.net/21.15107/rcub_gery_641"
}

Luković, J., Bajat, B., Blagojević, D.,& Kilibarda, M.. (2014). Spatial pattern of recent rainfall trends in Serbia (1961-2009). in Regional Environmental Change
Springer Heidelberg, Heidelberg., 14(5), 1789-1799.
https://doi.org/10.1007/s10113-013-0459-x
https://hdl.handle.net/21.15107/rcub_gery_641

Luković J, Bajat B, Blagojević D, Kilibarda M. Spatial pattern of recent rainfall trends in Serbia (1961-2009). in Regional Environmental Change. 2014;14(5):1789-1799.
doi:10.1007/s10113-013-0459-x
https://hdl.handle.net/21.15107/rcub_gery_641 .

Luković, Jelena, Bajat, Branislav, Blagojević, Dragan, Kilibarda, Milan, "Spatial pattern of recent rainfall trends in Serbia (1961-2009)" in Regional Environmental Change, 14, no. 5 (2014):1789-1799,
https://doi.org/10.1007/s10113-013-0459-x .,
https://hdl.handle.net/21.15107/rcub_gery_641 .

TY  - JOUR
AU  - Pandžić, Jelena
AU  - Bajat, Branislav
AU  - Luković, Jelena
PY  - 2013
UR  - https://gery.gef.bg.ac.rs/handle/123456789/573
AB  - This paper presents the application of indicator kriging as a geostatistical method for the purpose of creating maps of precipitation occurrence probabilities on the territory of the Republic of Serbia for distinctive months during 2009. The difference between this approach to mapping and standard isohyetal maps, which describe precipitation intensity, lies in the fact that this approach points to the potential of the occurrence of a certain amount of precipitation at a specific location for a given time period.
AB  - U radu je dat prikaz primene geostatističke metode indikatorskog kriginga za potrebe izrade karata verovatnoća pojave kišnih padavina na teritoriji Republike Srbije za karakteristične mesece u toku 2009. godine. Razlika između ovakvog pristupa kartiranju i standardnih izohijetnih karata koje opisuju intenzitet padavina je u tome što ovaj pristup ukazuje na potencijal pojave određene količine padavina na nekoj lokaciji za dati vremenski interval.
PB  - Beograd : Srpsko geografsko društvo
T2  - Glasnik Srpskog geografskog društva
T1  - Mapping probabilities of precipitation occurrence on the territory of the Republic of Serbia by the method of indicator kriging
T1  - Kartiranje verovatnoća pojave kišnih padavina na teritoriji Republike Srbije metodom indikatorskog kriginga
VL  - 93
IS  - 2
SP  - 23
EP  - 40
DO  - 10.2298/GSGD1302023P
UR  - https://hdl.handle.net/21.15107/rcub_gery_573
ER  - 

@article{
author = "Pandžić, Jelena and Bajat, Branislav and Luković, Jelena",
year = "2013",
abstract = "This paper presents the application of indicator kriging as a geostatistical method for the purpose of creating maps of precipitation occurrence probabilities on the territory of the Republic of Serbia for distinctive months during 2009. The difference between this approach to mapping and standard isohyetal maps, which describe precipitation intensity, lies in the fact that this approach points to the potential of the occurrence of a certain amount of precipitation at a specific location for a given time period., U radu je dat prikaz primene geostatističke metode indikatorskog kriginga za potrebe izrade karata verovatnoća pojave kišnih padavina na teritoriji Republike Srbije za karakteristične mesece u toku 2009. godine. Razlika između ovakvog pristupa kartiranju i standardnih izohijetnih karata koje opisuju intenzitet padavina je u tome što ovaj pristup ukazuje na potencijal pojave određene količine padavina na nekoj lokaciji za dati vremenski interval.",
publisher = "Beograd : Srpsko geografsko društvo",
journal = "Glasnik Srpskog geografskog društva",
title = "Mapping probabilities of precipitation occurrence on the territory of the Republic of Serbia by the method of indicator kriging, Kartiranje verovatnoća pojave kišnih padavina na teritoriji Republike Srbije metodom indikatorskog kriginga",
volume = "93",
number = "2",
pages = "23-40",
doi = "10.2298/GSGD1302023P",
url = "https://hdl.handle.net/21.15107/rcub_gery_573"
}

Pandžić, J., Bajat, B.,& Luković, J.. (2013). Mapping probabilities of precipitation occurrence on the territory of the Republic of Serbia by the method of indicator kriging. in Glasnik Srpskog geografskog društva
Beograd : Srpsko geografsko društvo., 93(2), 23-40.
https://doi.org/10.2298/GSGD1302023P
https://hdl.handle.net/21.15107/rcub_gery_573

Pandžić J, Bajat B, Luković J. Mapping probabilities of precipitation occurrence on the territory of the Republic of Serbia by the method of indicator kriging. in Glasnik Srpskog geografskog društva. 2013;93(2):23-40.
doi:10.2298/GSGD1302023P
https://hdl.handle.net/21.15107/rcub_gery_573 .

Pandžić, Jelena, Bajat, Branislav, Luković, Jelena, "Mapping probabilities of precipitation occurrence on the territory of the Republic of Serbia by the method of indicator kriging" in Glasnik Srpskog geografskog društva, 93, no. 2 (2013):23-40,
https://doi.org/10.2298/GSGD1302023P .,
https://hdl.handle.net/21.15107/rcub_gery_573 .

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 .

TY  - JOUR
AU  - Krunić, Nikola
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Tošić, Dragutin
PY  - 2011
UR  - https://gery.gef.bg.ac.rs/handle/123456789/398
AB  - Cartographic presentation of heterogeneity/homogeneity in the spatial distribution of population is still a major problem in modern geography, and other geo-sciences as well. The traditional method of thematic or choropleth mapping rarely gives satisfactory results. This paper analyzes the applicability of dasymetric mapping method for the modelling of spatial distribution of population. Although it is a relatively old method, it becomes widely used following the development of computer technology, GIS and satellite imagery, and its applicability is increasing in social, economic and other sciences and disciplines. After showing the basis and development of dasymetric mapping, the authors present possible application of this method in the population distribution modelling of Vojvodina.
PB  - Beograd : Institut za arhitekturu i urbanizam Srbije
T2  - Spatium
T1  - Modelling the spatial distribution of Vojvodina's population by using dasymetric method
IS  - 24
SP  - 45
EP  - 50
DO  - 10.2298/SPAT1124045K
UR  - https://hdl.handle.net/21.15107/rcub_gery_398
ER  - 

@article{
author = "Krunić, Nikola and Bajat, Branislav and Kilibarda, Milan and Tošić, Dragutin",
year = "2011",
abstract = "Cartographic presentation of heterogeneity/homogeneity in the spatial distribution of population is still a major problem in modern geography, and other geo-sciences as well. The traditional method of thematic or choropleth mapping rarely gives satisfactory results. This paper analyzes the applicability of dasymetric mapping method for the modelling of spatial distribution of population. Although it is a relatively old method, it becomes widely used following the development of computer technology, GIS and satellite imagery, and its applicability is increasing in social, economic and other sciences and disciplines. After showing the basis and development of dasymetric mapping, the authors present possible application of this method in the population distribution modelling of Vojvodina.",
publisher = "Beograd : Institut za arhitekturu i urbanizam Srbije",
journal = "Spatium",
title = "Modelling the spatial distribution of Vojvodina's population by using dasymetric method",
number = "24",
pages = "45-50",
doi = "10.2298/SPAT1124045K",
url = "https://hdl.handle.net/21.15107/rcub_gery_398"
}

Krunić, N., Bajat, B., Kilibarda, M.,& Tošić, D.. (2011). Modelling the spatial distribution of Vojvodina's population by using dasymetric method. in Spatium
Beograd : Institut za arhitekturu i urbanizam Srbije.(24), 45-50.
https://doi.org/10.2298/SPAT1124045K
https://hdl.handle.net/21.15107/rcub_gery_398

Krunić N, Bajat B, Kilibarda M, Tošić D. Modelling the spatial distribution of Vojvodina's population by using dasymetric method. in Spatium. 2011;(24):45-50.
doi:10.2298/SPAT1124045K
https://hdl.handle.net/21.15107/rcub_gery_398 .

Krunić, Nikola, Bajat, Branislav, Kilibarda, Milan, Tošić, Dragutin, "Modelling the spatial distribution of Vojvodina's population by using dasymetric method" in Spatium, no. 24 (2011):45-50,
https://doi.org/10.2298/SPAT1124045K .,
https://hdl.handle.net/21.15107/rcub_gery_398 .