TY  - JOUR
AU  - Abolmasov, Biljana
AU  - Marjanović, Miloš
AU  - Đurić, Uroš
AU  - Stanković, Ranka
AU  - Krušić, Jelka
AU  - Andrejev, Katarina
AU  - Vulović, Nikola
AU  - Petrović, Rastko
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1889
PB  - Програм Уједињених нација за развој (UNDP) Србија
T1  - Брошура "BEWARE" пројекта - Информатор о пројекту и приручник за практичан рад
EP  - 56
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1889
ER  - 

@article{
author = "Abolmasov, Biljana and Marjanović, Miloš and Đurić, Uroš and Stanković, Ranka and Krušić, Jelka and Andrejev, Katarina and Vulović, Nikola and Petrović, Rastko",
year = "2015",
publisher = "Програм Уједињених нација за развој (UNDP) Србија",
title = "Брошура "BEWARE" пројекта - Информатор о пројекту и приручник за практичан рад",
pages = "56",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1889"
}

Abolmasov, B., Marjanović, M., Đurić, U., Stanković, R., Krušić, J., Andrejev, K., Vulović, N.,& Petrović, R.. (2015). Брошура "BEWARE" пројекта - Информатор о пројекту и приручник за практичан рад. 
Програм Уједињених нација за развој (UNDP) Србија..
https://hdl.handle.net/21.15107/rcub_grafar_1889

Abolmasov B, Marjanović M, Đurić U, Stanković R, Krušić J, Andrejev K, Vulović N, Petrović R. Брошура "BEWARE" пројекта - Информатор о пројекту и приручник за практичан рад. 2015;:null-56.
https://hdl.handle.net/21.15107/rcub_grafar_1889 .

Abolmasov, Biljana, Marjanović, Miloš, Đurić, Uroš, Stanković, Ranka, Krušić, Jelka, Andrejev, Katarina, Vulović, Nikola, Petrović, Rastko, "Брошура "BEWARE" пројекта - Информатор о пројекту и приручник за практичан рад" (2015),
https://hdl.handle.net/21.15107/rcub_grafar_1889 .

TY  - JOUR
AU  - Petrović, Rastko
AU  - Šušić, Vladimir
AU  - Đurić, Uroš
AU  - Marjanović, Miloš
AU  - Zečević, Snežana
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1911
AB  - Osnovne topografske osobine igraju važnu ulogu u određivanju hidroloških karakteristika sliva,
prilikom modeliranja vodnih resursa. Algoritam, koji je korišćen, u ovom radu, za definisanje kontura vododelnica, se oslanja na digitalni elevacioni model (DEM), kao osnovni rasterski ulazni podatak. Preciznost automatskog načina određivanja kontura vododelnica zavisi, pre svega, od rezolucije DEM-a. Sa druge strane, preciznost može zavisiti i od načina delineacije mreže tokova u raster Stream Network. Da bi se izvela ova funkcija, potrebno je znati koliko vode struji kroz svaki pojedinačni piksel. To znači da je neophodno zadati graničnu vrednost, prag, iz koliko je piksela potrebno da struji voda ka pojedinačnom pikselu, da bi on bio prepoznat kao rečni tok. Taj broj se određuje na različite načine, a na ovom konkretnom primeru utvrđen je tariranjem. Analiza DEM-a je primenjena na Izvorištu u Gornjoj Lisini, gde je za 9 izvora izvršeno određivanje kontura vododelnica, pomenutom metodom. Korišćen je DEM rezolucije 25 m. Za tariranje granične vrednosti broja ćelija, korišćene su različite vrednosti, na osnovu kojih su računate vrednosti površina neposrednih slivova, koje su upoređivane sa vrednostima površina, izračunatim uobičajenim hidrološkim metodama
PB  - Savez inženjera i tehničara Srbije, Beograd
T2  - Tehnika
T1  - Primena automatizovane tehnike određivanja topografskih vododelnica analizom DEM-a
EP  - 241
SP  - 235
VL  - 68
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1911
ER  - 

@article{
author = "Petrović, Rastko and Šušić, Vladimir and Đurić, Uroš and Marjanović, Miloš and Zečević, Snežana",
year = "2013",
abstract = "Osnovne topografske osobine igraju važnu ulogu u određivanju hidroloških karakteristika sliva,
prilikom modeliranja vodnih resursa. Algoritam, koji je korišćen, u ovom radu, za definisanje kontura vododelnica, se oslanja na digitalni elevacioni model (DEM), kao osnovni rasterski ulazni podatak. Preciznost automatskog načina određivanja kontura vododelnica zavisi, pre svega, od rezolucije DEM-a. Sa druge strane, preciznost može zavisiti i od načina delineacije mreže tokova u raster Stream Network. Da bi se izvela ova funkcija, potrebno je znati koliko vode struji kroz svaki pojedinačni piksel. To znači da je neophodno zadati graničnu vrednost, prag, iz koliko je piksela potrebno da struji voda ka pojedinačnom pikselu, da bi on bio prepoznat kao rečni tok. Taj broj se određuje na različite načine, a na ovom konkretnom primeru utvrđen je tariranjem. Analiza DEM-a je primenjena na Izvorištu u Gornjoj Lisini, gde je za 9 izvora izvršeno određivanje kontura vododelnica, pomenutom metodom. Korišćen je DEM rezolucije 25 m. Za tariranje granične vrednosti broja ćelija, korišćene su različite vrednosti, na osnovu kojih su računate vrednosti površina neposrednih slivova, koje su upoređivane sa vrednostima površina, izračunatim uobičajenim hidrološkim metodama",
publisher = "Savez inženjera i tehničara Srbije, Beograd",
journal = "Tehnika",
title = "Primena automatizovane tehnike određivanja topografskih vododelnica analizom DEM-a",
pages = "241-235",
volume = "68",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1911"
}

Petrović, R., Šušić, V., Đurić, U., Marjanović, M.,& Zečević, S.. (2013). Primena automatizovane tehnike određivanja topografskih vododelnica analizom DEM-a. in Tehnika
Savez inženjera i tehničara Srbije, Beograd., 68, 235-241.
https://hdl.handle.net/21.15107/rcub_grafar_1911

Petrović R, Šušić V, Đurić U, Marjanović M, Zečević S. Primena automatizovane tehnike određivanja topografskih vododelnica analizom DEM-a. in Tehnika. 2013;68:235-241.
https://hdl.handle.net/21.15107/rcub_grafar_1911 .

Petrović, Rastko, Šušić, Vladimir, Đurić, Uroš, Marjanović, Miloš, Zečević, Snežana, "Primena automatizovane tehnike određivanja topografskih vododelnica analizom DEM-a" in Tehnika, 68 (2013):235-241,
https://hdl.handle.net/21.15107/rcub_grafar_1911 .

TY  - JOUR
AU  - Petrović, Rastko
AU  - Marjanović, Miloš
AU  - Šušić, Vladimir
AU  - Đurić, Uroš
AU  - Zečević, Snežana
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1890
AB  - Basic topographic features play major role in deriving basin hydrological characteristics for water
resources modeling. Algorithm used in this paper for defining watershed contours relies on digital
elevation model (DEM) as primary input data. Accuracy of automatic deriving of watershed contours primarily depends on DEM resolution. On the other hand, accuracy can depend on raster method that is used for stream network delineation into Stream Network raster. To perform this function it is necessary to know how much water flows through each pixel. This means that it is necessary to set the threshold of how many cells flow into each downslope cell to recognize it as a stream. There are several ways to set up the threshold value and herein the calibration method is used. This paper treatsGornja Lisina source, where this method was used to determine watershed contours for 9 springs. Source DEM had 25 m resolution. Various threshold values were tested. For each value catchment area was calculated and compared to area values calculated using common hydrological methods.
PB  - Union of Engineers and Technicians of Serbia, Belgrade
T2  - Technics
T1  - Application of an Automated Technique for Topographic Watershed Deriving Using DEM Analysis
EP  - 48
IS  - 68
SP  - 42
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1890
ER  - 

@article{
author = "Petrović, Rastko and Marjanović, Miloš and Šušić, Vladimir and Đurić, Uroš and Zečević, Snežana",
year = "2013",
abstract = "Basic topographic features play major role in deriving basin hydrological characteristics for water
resources modeling. Algorithm used in this paper for defining watershed contours relies on digital
elevation model (DEM) as primary input data. Accuracy of automatic deriving of watershed contours primarily depends on DEM resolution. On the other hand, accuracy can depend on raster method that is used for stream network delineation into Stream Network raster. To perform this function it is necessary to know how much water flows through each pixel. This means that it is necessary to set the threshold of how many cells flow into each downslope cell to recognize it as a stream. There are several ways to set up the threshold value and herein the calibration method is used. This paper treatsGornja Lisina source, where this method was used to determine watershed contours for 9 springs. Source DEM had 25 m resolution. Various threshold values were tested. For each value catchment area was calculated and compared to area values calculated using common hydrological methods.",
publisher = "Union of Engineers and Technicians of Serbia, Belgrade",
journal = "Technics",
title = "Application of an Automated Technique for Topographic Watershed Deriving Using DEM Analysis",
pages = "48-42",
number = "68",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1890"
}

Petrović, R., Marjanović, M., Šušić, V., Đurić, U.,& Zečević, S.. (2013). Application of an Automated Technique for Topographic Watershed Deriving Using DEM Analysis. in Technics
Union of Engineers and Technicians of Serbia, Belgrade.(68), 42-48.
https://hdl.handle.net/21.15107/rcub_grafar_1890

Petrović R, Marjanović M, Šušić V, Đurić U, Zečević S. Application of an Automated Technique for Topographic Watershed Deriving Using DEM Analysis. in Technics. 2013;(68):42-48.
https://hdl.handle.net/21.15107/rcub_grafar_1890 .

Petrović, Rastko, Marjanović, Miloš, Šušić, Vladimir, Đurić, Uroš, Zečević, Snežana, "Application of an Automated Technique for Topographic Watershed Deriving Using DEM Analysis" in Technics, no. 68 (2013):42-48,
https://hdl.handle.net/21.15107/rcub_grafar_1890 .

TY  - CONF
AU  - Petrović, Rastko
AU  - Marjanović, Miloš
AU  - Đurić, Uroš
AU  - Šušić, Vladimir
AU  - Abolmasov, Biljana
AU  - Zečević, Snežana
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2068
AB  - The need for smart sustainable urban solutions has never been greater than it is today.
Master plan (MP) represents rather significant document for a city development and the
City of Belgrade has a tradition and long history of development under MP framework
(Djuric et al 2013). Current MP (Fig. 1), made by the Urban Planning Institute of Belgrade,
has been adopted in 2003 and refers to the development period by the year of 2021
(http://www.urbel.com/default.aspx?ID=uzb_BG_planovi&LN=ENG).
On the other hand the City of Belgrade is facing a rapid urban sprawl so suburbanization
problem is particularly pronounced. Since MP is following the current needs of the city,
active subjects of economic development as well as urban municipalities, there is strong
initiative to expand its current extents for the suburb areas.
Among other significant points of the MP, determination of the Land-Use Suitability
(LUS) is considered to be one of the foremost planning references. LUS analysis is a tool
used to define future land uses or their potential. Suitability techniques enable
environmental managers, planners and engineers to analyze the interactions among various
factors. Decision makers and developers can use the outputs to set policies and make
decisions regarding the use of land. Contemporary environmental managers and planners
are aware of the technological advancements in land-use allocation and suitability
modelling. New methods of spatial analysis are now commonly used in the development of
land-use plans, environmental impact reviews, and site selection studies for many different
land uses and public and private facilities (Collins, 2001). The earliest applications of
suitability analysis conducted by engineering geologists and civil engineers for Belgrade
MP area, in form of hand-drawn sieve mapping overlays was done by Šutić et al. (1972).
Later, numerous researchers performed similar suitability analysis for different purposes
(urban planning, defining best/optimal road routes etc). First work involving suitability
analysis in GIS environment has been done in 2009/2010 (Marjanović, 2009; Djurić,
2010), but none for Belgrade area.
This paper introduces a new approach and represents in fact, a pioneering work performed
for the City of Belgrade. It represents how available thematic data, processed in GIS
environment, can be and was used for LUS assessment. One of the statistical methods
involving the Conditional Probability (CP) approach with the Weight of Evidence
technique, has been used. Conventional methods on the other hand, are still needed to
validate the outcomes and to calibrate these GIS-based methods, which are still to be
developed and perfected.
There was a strong motif supporting this research, since in-charged City’s government
services have shown interest in extending the Master Plan (MP) to the Belgrade suburb
areas.
PB  - Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS)
C3  - International Scientific Conference Regional Development, Spatial Planning and Strategic Governance - RESPAG 2013 - Conference proceedings
T1  - Statistical approach in land-use suitability analysis of the Belgrade City suburbs
EP  - 529
SP  - 517
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2068
ER  - 

@conference{
author = "Petrović, Rastko and Marjanović, Miloš and Đurić, Uroš and Šušić, Vladimir and Abolmasov, Biljana and Zečević, Snežana",
year = "2013",
abstract = "The need for smart sustainable urban solutions has never been greater than it is today.
Master plan (MP) represents rather significant document for a city development and the
City of Belgrade has a tradition and long history of development under MP framework
(Djuric et al 2013). Current MP (Fig. 1), made by the Urban Planning Institute of Belgrade,
has been adopted in 2003 and refers to the development period by the year of 2021
(http://www.urbel.com/default.aspx?ID=uzb_BG_planovi&LN=ENG).
On the other hand the City of Belgrade is facing a rapid urban sprawl so suburbanization
problem is particularly pronounced. Since MP is following the current needs of the city,
active subjects of economic development as well as urban municipalities, there is strong
initiative to expand its current extents for the suburb areas.
Among other significant points of the MP, determination of the Land-Use Suitability
(LUS) is considered to be one of the foremost planning references. LUS analysis is a tool
used to define future land uses or their potential. Suitability techniques enable
environmental managers, planners and engineers to analyze the interactions among various
factors. Decision makers and developers can use the outputs to set policies and make
decisions regarding the use of land. Contemporary environmental managers and planners
are aware of the technological advancements in land-use allocation and suitability
modelling. New methods of spatial analysis are now commonly used in the development of
land-use plans, environmental impact reviews, and site selection studies for many different
land uses and public and private facilities (Collins, 2001). The earliest applications of
suitability analysis conducted by engineering geologists and civil engineers for Belgrade
MP area, in form of hand-drawn sieve mapping overlays was done by Šutić et al. (1972).
Later, numerous researchers performed similar suitability analysis for different purposes
(urban planning, defining best/optimal road routes etc). First work involving suitability
analysis in GIS environment has been done in 2009/2010 (Marjanović, 2009; Djurić,
2010), but none for Belgrade area.
This paper introduces a new approach and represents in fact, a pioneering work performed
for the City of Belgrade. It represents how available thematic data, processed in GIS
environment, can be and was used for LUS assessment. One of the statistical methods
involving the Conditional Probability (CP) approach with the Weight of Evidence
technique, has been used. Conventional methods on the other hand, are still needed to
validate the outcomes and to calibrate these GIS-based methods, which are still to be
developed and perfected.
There was a strong motif supporting this research, since in-charged City’s government
services have shown interest in extending the Master Plan (MP) to the Belgrade suburb
areas.",
publisher = "Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS)",
journal = "International Scientific Conference Regional Development, Spatial Planning and Strategic Governance - RESPAG 2013 - Conference proceedings",
title = "Statistical approach in land-use suitability analysis of the Belgrade City suburbs",
pages = "529-517",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2068"
}

Petrović, R., Marjanović, M., Đurić, U., Šušić, V., Abolmasov, B.,& Zečević, S.. (2013). Statistical approach in land-use suitability analysis of the Belgrade City suburbs. in International Scientific Conference Regional Development, Spatial Planning and Strategic Governance - RESPAG 2013 - Conference proceedings
Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS)., 517-529.
https://hdl.handle.net/21.15107/rcub_grafar_2068

Petrović R, Marjanović M, Đurić U, Šušić V, Abolmasov B, Zečević S. Statistical approach in land-use suitability analysis of the Belgrade City suburbs. in International Scientific Conference Regional Development, Spatial Planning and Strategic Governance - RESPAG 2013 - Conference proceedings. 2013;:517-529.
https://hdl.handle.net/21.15107/rcub_grafar_2068 .

Petrović, Rastko, Marjanović, Miloš, Đurić, Uroš, Šušić, Vladimir, Abolmasov, Biljana, Zečević, Snežana, "Statistical approach in land-use suitability analysis of the Belgrade City suburbs" in International Scientific Conference Regional Development, Spatial Planning and Strategic Governance - RESPAG 2013 - Conference proceedings (2013):517-529,
https://hdl.handle.net/21.15107/rcub_grafar_2068 .

TY  - CONF
AU  - Đurić, Uroš
AU  - Marjanović, Miloš
AU  - Šušić, Vladimir
AU  - Petrović, Rastko
AU  - Abolmasov, Biljana
AU  - Zečević, Snežana
AU  - Basarić, Irena
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1916
AB  - This paper treats development issues of the suburban areas of Belgrade city. A considerable growth that the city had experienced has led to excessive consumption of land and also to degradation of the landscape and loss of the natural biodiversity. This is why an augmentation of the current Master Plan within the administrative extents of the city is considered to be vital for consistent planning of suburban areas development. Model used in this paper considered defining land-use suitability, relying on available thematic data, including the following sources: topography, land-cover, geology, protected areas and some synthetic maps derived from these sources in a GIS environment. For this purpose Support Vector Machines (SVM) algorithm has been implemented in a typical supervised classification learning task. Two modelling schemes have been involved (since the main problem of the study was the unavailability of the land-use suitability in the testing area): MODEL1 has been built in the extents of the training area having only two land-use suitability classes at disposal (Unsuitable and Very Unsuitable) and extrapolated to the testing area within which the same two classes were known (thus available for model performance evaluation), while MODEL2 has been trained on all four land-use suitability classes, and extrapolated to the testing area, with unknown land-use classes. The second model was then correlated with the first one in order to estimate its otherwise disputable performance. Results of MODEL1 were satisfactory, with high overall accuracy (85%). MODEL2 visually shows a good tendency, and since it has at least 85% accuracy for those coincident two classes (Unsuitable and Very Unsuitable) with MODEL1, it is justified to assume that remaining two classes match similar accuracy rates. The model could be improved by more thorough optimization of the classifier parameters, which will require much longer experimenting costs.
PB  - Institute of geoinformatics VŠB - Technical University of Ostrava
C3  - Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013
T1  - Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm
EP  - 61
SP  - 49
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1916
ER  - 

@conference{
author = "Đurić, Uroš and Marjanović, Miloš and Šušić, Vladimir and Petrović, Rastko and Abolmasov, Biljana and Zečević, Snežana and Basarić, Irena",
year = "2013",
abstract = "This paper treats development issues of the suburban areas of Belgrade city. A considerable growth that the city had experienced has led to excessive consumption of land and also to degradation of the landscape and loss of the natural biodiversity. This is why an augmentation of the current Master Plan within the administrative extents of the city is considered to be vital for consistent planning of suburban areas development. Model used in this paper considered defining land-use suitability, relying on available thematic data, including the following sources: topography, land-cover, geology, protected areas and some synthetic maps derived from these sources in a GIS environment. For this purpose Support Vector Machines (SVM) algorithm has been implemented in a typical supervised classification learning task. Two modelling schemes have been involved (since the main problem of the study was the unavailability of the land-use suitability in the testing area): MODEL1 has been built in the extents of the training area having only two land-use suitability classes at disposal (Unsuitable and Very Unsuitable) and extrapolated to the testing area within which the same two classes were known (thus available for model performance evaluation), while MODEL2 has been trained on all four land-use suitability classes, and extrapolated to the testing area, with unknown land-use classes. The second model was then correlated with the first one in order to estimate its otherwise disputable performance. Results of MODEL1 were satisfactory, with high overall accuracy (85%). MODEL2 visually shows a good tendency, and since it has at least 85% accuracy for those coincident two classes (Unsuitable and Very Unsuitable) with MODEL1, it is justified to assume that remaining two classes match similar accuracy rates. The model could be improved by more thorough optimization of the classifier parameters, which will require much longer experimenting costs.",
publisher = "Institute of geoinformatics VŠB - Technical University of Ostrava",
journal = "Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013",
title = "Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm",
pages = "61-49",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1916"
}

Đurić, U., Marjanović, M., Šušić, V., Petrović, R., Abolmasov, B., Zečević, S.,& Basarić, I.. (2013). Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm. in Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013
Institute of geoinformatics VŠB - Technical University of Ostrava., 49-61.
https://hdl.handle.net/21.15107/rcub_grafar_1916

Đurić U, Marjanović M, Šušić V, Petrović R, Abolmasov B, Zečević S, Basarić I. Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm. in Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013. 2013;:49-61.
https://hdl.handle.net/21.15107/rcub_grafar_1916 .

Đurić, Uroš, Marjanović, Miloš, Šušić, Vladimir, Petrović, Rastko, Abolmasov, Biljana, Zečević, Snežana, Basarić, Irena, "Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm" in Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013 (2013):49-61,
https://hdl.handle.net/21.15107/rcub_grafar_1916 .

TY  - CONF
AU  - Petrović, Rastko
AU  - Marjanović, Miloš
AU  - Đurić, Uroš
AU  - Šušić, Vladimir
AU  - Abolmasov, Biljana
AU  - Zečević, Snežana
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1912
AB  - The paper addresses the problem of suburb development potential in the City of
Belgrade. Suburbanization problem is particularly pronounced due to the rapid spreading
of the city, and there is a strong initiative for extending the existing Master Plan for
these suburb areas. One of the important points in that context is determination of the
Land-Use suitability, as one of the foremost planning references. Herein, a statistical
model is proposed for modeling of the Land-Use suitability relying on the available
thematic data, including the following sources: Land-Cover, Geological, Topographic
and Protected areas maps and some synthetic maps derived from these sources in a GIS
environment. For the modeling purposes, the Conditional Probability approach has been
implemented, using Weight of Evidence technique, in particular. Two modeling schemes
have been involved: (i) model is being built and correlated in the extents of the known
Land-Use suitability (training area) (ii) model is being extrapolated to the areas with
partly known Land-Use suitability (by having only two particular suitability classes at
disposal). Such strategy enabled optimization of classification scale, crucial for the
actual comparison of the actual state and the final model, as a combination of (i) and (ii).
The results were convincing and by reaching more nearly 80% of accuracy, they parallel
the results of the earlier work based on different methodology. Finally, a practical
applicability of the model has been also discussed.
PB  - Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS) Belgrade
C3  - Book of Abstracts: 2nd International Scientific Conference Regional Development
T1  - Statistical approach in land-use suitability analysis of the Belgrade City suburbs
EP  - 72
SP  - 72
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1912
ER  - 

@conference{
author = "Petrović, Rastko and Marjanović, Miloš and Đurić, Uroš and Šušić, Vladimir and Abolmasov, Biljana and Zečević, Snežana",
year = "2013",
abstract = "The paper addresses the problem of suburb development potential in the City of
Belgrade. Suburbanization problem is particularly pronounced due to the rapid spreading
of the city, and there is a strong initiative for extending the existing Master Plan for
these suburb areas. One of the important points in that context is determination of the
Land-Use suitability, as one of the foremost planning references. Herein, a statistical
model is proposed for modeling of the Land-Use suitability relying on the available
thematic data, including the following sources: Land-Cover, Geological, Topographic
and Protected areas maps and some synthetic maps derived from these sources in a GIS
environment. For the modeling purposes, the Conditional Probability approach has been
implemented, using Weight of Evidence technique, in particular. Two modeling schemes
have been involved: (i) model is being built and correlated in the extents of the known
Land-Use suitability (training area) (ii) model is being extrapolated to the areas with
partly known Land-Use suitability (by having only two particular suitability classes at
disposal). Such strategy enabled optimization of classification scale, crucial for the
actual comparison of the actual state and the final model, as a combination of (i) and (ii).
The results were convincing and by reaching more nearly 80% of accuracy, they parallel
the results of the earlier work based on different methodology. Finally, a practical
applicability of the model has been also discussed.",
publisher = "Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS) Belgrade",
journal = "Book of Abstracts: 2nd International Scientific Conference Regional Development",
title = "Statistical approach in land-use suitability analysis of the Belgrade City suburbs",
pages = "72-72",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1912"
}

Petrović, R., Marjanović, M., Đurić, U., Šušić, V., Abolmasov, B.,& Zečević, S.. (2013). Statistical approach in land-use suitability analysis of the Belgrade City suburbs. in Book of Abstracts: 2nd International Scientific Conference Regional Development
Institute of Architecture and Urban & Spatial Planning of Serbia (IAUS) Belgrade., 72-72.
https://hdl.handle.net/21.15107/rcub_grafar_1912

Petrović R, Marjanović M, Đurić U, Šušić V, Abolmasov B, Zečević S. Statistical approach in land-use suitability analysis of the Belgrade City suburbs. in Book of Abstracts: 2nd International Scientific Conference Regional Development. 2013;:72-72.
https://hdl.handle.net/21.15107/rcub_grafar_1912 .

Petrović, Rastko, Marjanović, Miloš, Đurić, Uroš, Šušić, Vladimir, Abolmasov, Biljana, Zečević, Snežana, "Statistical approach in land-use suitability analysis of the Belgrade City suburbs" in Book of Abstracts: 2nd International Scientific Conference Regional Development (2013):72-72,
https://hdl.handle.net/21.15107/rcub_grafar_1912 .

TY  - CONF
AU  - Marjanović, Miloš
AU  - Đurić, Uroš
AU  - Petrović, Rastko
PY  - 2012
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2060
AB  - Prostorno modelovanje hazarda/potencijala od klizanja može se izvesti najrazličitijim tehnikama u GIS-okruženju ako su prethodno definisani ulazni podaci koji dovolјno korektno diskretizuju model. U ovom radu je izvršena inspekcija ulaznih prostornih podataka, upotreblјene su različite tehnike prostornog modelovanja (ekspertski, fizički, statistički, fazni i modeli na bazi mašinskog učenja) i izvršena je evaluacija dobijenih modela (kvalitativno-kvantitativnim analizama ROC krivih) na primeru SZ padina Fruške gore.
PB  - Društvo geoloških inženjera i tehničara Srbije - DGEITS
C3  - Zbornik radova, XIV Simpozijum iz inženjerske geologije i geotehnike
T1  - Modelovanje hazarda od klizišta različitim metodama u GIS-u i njihova evaluacija
EP  - 478
SP  - 469
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2060
ER  - 

@conference{
author = "Marjanović, Miloš and Đurić, Uroš and Petrović, Rastko",
year = "2012",
abstract = "Prostorno modelovanje hazarda/potencijala od klizanja može se izvesti najrazličitijim tehnikama u GIS-okruženju ako su prethodno definisani ulazni podaci koji dovolјno korektno diskretizuju model. U ovom radu je izvršena inspekcija ulaznih prostornih podataka, upotreblјene su različite tehnike prostornog modelovanja (ekspertski, fizički, statistički, fazni i modeli na bazi mašinskog učenja) i izvršena je evaluacija dobijenih modela (kvalitativno-kvantitativnim analizama ROC krivih) na primeru SZ padina Fruške gore.",
publisher = "Društvo geoloških inženjera i tehničara Srbije - DGEITS",
journal = "Zbornik radova, XIV Simpozijum iz inženjerske geologije i geotehnike",
title = "Modelovanje hazarda od klizišta različitim metodama u GIS-u i njihova evaluacija",
pages = "478-469",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2060"
}

Marjanović, M., Đurić, U.,& Petrović, R.. (2012). Modelovanje hazarda od klizišta različitim metodama u GIS-u i njihova evaluacija. in Zbornik radova, XIV Simpozijum iz inženjerske geologije i geotehnike
Društvo geoloških inženjera i tehničara Srbije - DGEITS., 469-478.
https://hdl.handle.net/21.15107/rcub_grafar_2060

Marjanović M, Đurić U, Petrović R. Modelovanje hazarda od klizišta različitim metodama u GIS-u i njihova evaluacija. in Zbornik radova, XIV Simpozijum iz inženjerske geologije i geotehnike. 2012;:469-478.
https://hdl.handle.net/21.15107/rcub_grafar_2060 .

Marjanović, Miloš, Đurić, Uroš, Petrović, Rastko, "Modelovanje hazarda od klizišta različitim metodama u GIS-u i njihova evaluacija" in Zbornik radova, XIV Simpozijum iz inženjerske geologije i geotehnike (2012):469-478,
https://hdl.handle.net/21.15107/rcub_grafar_2060 .