Suzana Dragićević
Biographic Data
| ID | 1522706 |
|---|---|
| NAME | Suzana Dragićević |
| GIVEN NAMES | Suzana |
| FAMILY NAME | Dragićević |
| SIGNATURE | DRAGIĆEVIĆ S |
| AFFILIATIONS | Simon Fraser University |
| ORCID | 0000-0003-4144-7530 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 18 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Assessing the Number of Criteria in GIS ‐Based Multicriteria Evaluation: A Machine Learning Approach
The analytical hierarchy process (AHP) is a widely used approach and a decision rule to derive criteria weights in geographic information system‐based multi‐criteria evaluation (GIS‐MCE). However, one limitation of the AHP method is that it constrains the number of criteria that can be meaningfully weighted to typically seven to nine criteria. Recently, machine learning (ML) techniques have emerged as a compelling alternative for deriving criteri…
Modelling Global Deforestation Using Spherical Geographic Automata Approach
Deforestation as a land-cover change process is linked to several environmental problems including desertification, biodiversity loss, and ultimately climate change. Understanding the land-cover change process and its relation to human–environment interactions is important for supporting spatial decisions and policy making at the global level. However, current geosimulation model applications mainly focus on characterizing urbanization and agricu…
Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes
An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments to model internal parameters. The main goal of this research study was to implement and evaluate temporal and spatiotemporal sample weighting schemes that manage the influence of persistent and former…
Map Comparison Methods for Three‐Dimensional Space and Time Voxel Data
Map comparisons in three‐dimensional space (3D) and 3D time series (4D) are becoming a necessity with increased availability of multidimensional data and model simulation outputs. Therefore, this research study extends the two‐dimensional (2D) map comparison methods with the aim to propose a suite of 3D approaches such as 3D Kappa, 3D Fuzzy, and 4D Fuzzy Kappa coefficients specifically designed to perform with voxel data. These proposed approache…
GIS-based Logic Scoring of Preference method for urban densification suitability analysis
Representing Complex Evolving Spatial Networks: Geographic Network Automata
Many real-world spatial systems can be conceptualized as networks. In these conceptualizations, nodes and links represent system components and their interactions, respectively. Traditional network analysis applies graph theory measures to static network datasets. However, recent interest lies in the representation and analysis of evolving networks. Existing network automata approaches simulate evolving network structures, but do not consider the…
Spatial multi-criteria evaluation in 3D context: Suitability analysis of urban vertical development
Urban densification is often seen as a process that aims to limit the negative environmental impacts of urban sprawl in rapidly growing cities by prioritizing planning policies stimulating vertical growth (or high-rise development) over expansion along the urban fringe. Densification of major Canadian urban areas has led to the proliferation of high-rises with an increasing proportion of residents occupying these buildings rather than traditional…
Complex spatial networks: Theory and geospatial applications
Complex systems modeling approaches offer the means to examine the way in which local interactions between system components form emergent systems. Using these bottom-up modeling approaches in combination with geographic information systems (GIS) and geospatial data, the complexity inherent to spatial phenomena including geographical, urban, ecological, or geophysical systems can be captured and represented. Scientific research in the field of ne…
A local and regional spatial index for measuring three-dimensional urban compactness growth
The negative impacts resulting from urban sprawl are recognized as serious issues entailing environmental problems. Urban developments are moving towards a more compact form to mitigate many issues including pollution concerns, land depletion, and population growth demands. Urban compactness has been reported to be a more sustainable form of development that occurs through densification and mixed land use practices through spatial indicators that…
Urban geosimulations with the Logic Scoring of Preference method for agent-based decision-making
Fuzzy Classification and Reasoning
The issues of error, uncertainty, and representations in geospatial data have also increased the demand to use fuzzy set theory so as to better characterize the real nature of geographical boundaries and phenomena. This entry provides a summary of fuzzy sets and their application in a geospatial data context. Fuzzy classification and reasoning are elaborated and supported with relevant studies from the published literature.
GIS-based multicriteria evaluation with multiscale analysis to characterize urban landslide susceptibility in data-scarce environments
Modeling the Dynamics of Complex Spatial Systems Using GIS, Cellular Automata and Fuzzy Sets Applied to Invasive Plant Species Propagation
Geographic processes are embedded within complex spatial systems containing multiple interacting variables. These processes have spatial and temporal dynamics that are difficult to represent and model with the standard tools of geographic information systems (GIS) software. Consequently, representing the dynamics of geographic process and accounting for uncertainties in variable measurements are key considerations when developing realistic spatia…
Web Cellular Automata: A Forest Fire Modeling Approach and Prototype Tool
The integration of geographic information systems (GIS) and spatio-temporal modeling procedures with Internet technology can significantly improve the decision-making process for environmental and disaster management. The objective of this study is to develop an approach to integrate a cellular automata (CA) forest fire behavior model with the world wide web. The developed CA model extends the capability of the static raster GIS by incorporating …
Modeling and Visualization for Spatial Decision Support
(2008). Modeling and Visualization for Spatial Decision Support. Cartography and Geographic Information Science: Vol. 35, No. 2, pp. 75-76
Spatial/temporal mismatch: A conflation protocol for Canada Census spatial files
The Canada census is one of the chief sources of demographic and socio‐economic data for researchers in this country. Census variables are linked to geography files that allow researchers using geographic information systems (GIS) to view and analyze spatial data. Some of the most useful analysis, however, is based on changes in attribute values over time and space. Analysis of spatio‐ temporal events such as shifting migration patterns or change…
Statistical Methods in Spatial Epidemiology Spatial Cluster Modelling
Key Words: medical/health geographyspatial epidemiologyspatial cluster modellingspatial statistics
Spatio-Temporal Interpolation and Fuzzy Logic for GIS Simulation of Rural-to-Urban Transition
When studying dynamic geographic phenomena such as rural-urban transformation in a raster GIS environment, information between two consecutive snapshot layers may not be available. This paper describes an application of fuzzy logic which enables the completion of unknown information in generated intermediate layers using annual temporal resolution and spatio-temporal interpolation. Change is modeled temporally by performing three possible scenari…
Urban geosimulations with the Logic Scoring of Preference method for agent-based decision-making
Spatial multi-criteria evaluation in 3D context: Suitability analysis of urban vertical development
Urban densification is often seen as a process that aims to limit the negative environmental impacts of urban sprawl in rapidly growing cities by prioritizing planning policies stimulating vertical growth (or high-rise development) over expansion along the urban fringe. Densification of major Canadian urban areas has led to the proliferation of high-rises with an increasing proportion of residents occupying these buildings rather than traditional…
Modeling and Visualization for Spatial Decision Support
(2008). Modeling and Visualization for Spatial Decision Support. Cartography and Geographic Information Science: Vol. 35, No. 2, pp. 75-76
Spatial/temporal mismatch: A conflation protocol for Canada Census spatial files
The Canada census is one of the chief sources of demographic and socio‐economic data for researchers in this country. Census variables are linked to geography files that allow researchers using geographic information systems (GIS) to view and analyze spatial data. Some of the most useful analysis, however, is based on changes in attribute values over time and space. Analysis of spatio‐ temporal events such as shifting migration patterns or change…
GIS-based multicriteria evaluation with multiscale analysis to characterize urban landslide susceptibility in data-scarce environments
Modeling the Dynamics of Complex Spatial Systems Using GIS, Cellular Automata and Fuzzy Sets Applied to Invasive Plant Species Propagation
Geographic processes are embedded within complex spatial systems containing multiple interacting variables. These processes have spatial and temporal dynamics that are difficult to represent and model with the standard tools of geographic information systems (GIS) software. Consequently, representing the dynamics of geographic process and accounting for uncertainties in variable measurements are key considerations when developing realistic spatia…
Statistical Methods in Spatial Epidemiology Spatial Cluster Modelling
Key Words: medical/health geographyspatial epidemiologyspatial cluster modellingspatial statistics
Spatio-Temporal Interpolation and Fuzzy Logic for GIS Simulation of Rural-to-Urban Transition
When studying dynamic geographic phenomena such as rural-urban transformation in a raster GIS environment, information between two consecutive snapshot layers may not be available. This paper describes an application of fuzzy logic which enables the completion of unknown information in generated intermediate layers using annual temporal resolution and spatio-temporal interpolation. Change is modeled temporally by performing three possible scenari…
Spatio-Temporal Interpolation and Fuzzy Logic for GIS Simulation of Rural-to-Urban Transition
When studying dynamic geographic phenomena such as rural-urban transformation in a raster GIS environment, information between two consecutive snapshot layers may not be available. This paper describes an application of fuzzy logic which enables the completion of unknown information in generated intermediate layers using annual temporal resolution and spatio-temporal interpolation. Change is modeled temporally by performing three possible scenari…
Statistical Methods in Spatial Epidemiology Spatial Cluster Modelling
Key Words: medical/health geographyspatial epidemiologyspatial cluster modellingspatial statistics
Spatial/temporal mismatch: A conflation protocol for Canada Census spatial files
The Canada census is one of the chief sources of demographic and socio‐economic data for researchers in this country. Census variables are linked to geography files that allow researchers using geographic information systems (GIS) to view and analyze spatial data. Some of the most useful analysis, however, is based on changes in attribute values over time and space. Analysis of spatio‐ temporal events such as shifting migration patterns or change…
Web Cellular Automata: A Forest Fire Modeling Approach and Prototype Tool
The integration of geographic information systems (GIS) and spatio-temporal modeling procedures with Internet technology can significantly improve the decision-making process for environmental and disaster management. The objective of this study is to develop an approach to integrate a cellular automata (CA) forest fire behavior model with the world wide web. The developed CA model extends the capability of the static raster GIS by incorporating …
Modeling and Visualization for Spatial Decision Support
(2008). Modeling and Visualization for Spatial Decision Support. Cartography and Geographic Information Science: Vol. 35, No. 2, pp. 75-76
Modeling the Dynamics of Complex Spatial Systems Using GIS, Cellular Automata and Fuzzy Sets Applied to Invasive Plant Species Propagation
Geographic processes are embedded within complex spatial systems containing multiple interacting variables. These processes have spatial and temporal dynamics that are difficult to represent and model with the standard tools of geographic information systems (GIS) software. Consequently, representing the dynamics of geographic process and accounting for uncertainties in variable measurements are key considerations when developing realistic spatia…
GIS-based multicriteria evaluation with multiscale analysis to characterize urban landslide susceptibility in data-scarce environments
Fuzzy Classification and Reasoning
The issues of error, uncertainty, and representations in geospatial data have also increased the demand to use fuzzy set theory so as to better characterize the real nature of geographical boundaries and phenomena. This entry provides a summary of fuzzy sets and their application in a geospatial data context. Fuzzy classification and reasoning are elaborated and supported with relevant studies from the published literature.
Urban geosimulations with the Logic Scoring of Preference method for agent-based decision-making
A local and regional spatial index for measuring three-dimensional urban compactness growth
The negative impacts resulting from urban sprawl are recognized as serious issues entailing environmental problems. Urban developments are moving towards a more compact form to mitigate many issues including pollution concerns, land depletion, and population growth demands. Urban compactness has been reported to be a more sustainable form of development that occurs through densification and mixed land use practices through spatial indicators that…
Representing Complex Evolving Spatial Networks: Geographic Network Automata
Many real-world spatial systems can be conceptualized as networks. In these conceptualizations, nodes and links represent system components and their interactions, respectively. Traditional network analysis applies graph theory measures to static network datasets. However, recent interest lies in the representation and analysis of evolving networks. Existing network automata approaches simulate evolving network structures, but do not consider the…
Spatial multi-criteria evaluation in 3D context: Suitability analysis of urban vertical development
Urban densification is often seen as a process that aims to limit the negative environmental impacts of urban sprawl in rapidly growing cities by prioritizing planning policies stimulating vertical growth (or high-rise development) over expansion along the urban fringe. Densification of major Canadian urban areas has led to the proliferation of high-rises with an increasing proportion of residents occupying these buildings rather than traditional…
Complex spatial networks: Theory and geospatial applications
Complex systems modeling approaches offer the means to examine the way in which local interactions between system components form emergent systems. Using these bottom-up modeling approaches in combination with geographic information systems (GIS) and geospatial data, the complexity inherent to spatial phenomena including geographical, urban, ecological, or geophysical systems can be captured and represented. Scientific research in the field of ne…
GIS-based Logic Scoring of Preference method for urban densification suitability analysis
Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes
An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments to model internal parameters. The main goal of this research study was to implement and evaluate temporal and spatiotemporal sample weighting schemes that manage the influence of persistent and former…
Map Comparison Methods for Three‐Dimensional Space and Time Voxel Data
Map comparisons in three‐dimensional space (3D) and 3D time series (4D) are becoming a necessity with increased availability of multidimensional data and model simulation outputs. Therefore, this research study extends the two‐dimensional (2D) map comparison methods with the aim to propose a suite of 3D approaches such as 3D Kappa, 3D Fuzzy, and 4D Fuzzy Kappa coefficients specifically designed to perform with voxel data. These proposed approache…
Modelling Global Deforestation Using Spherical Geographic Automata Approach
Deforestation as a land-cover change process is linked to several environmental problems including desertification, biodiversity loss, and ultimately climate change. Understanding the land-cover change process and its relation to human–environment interactions is important for supporting spatial decisions and policy making at the global level. However, current geosimulation model applications mainly focus on characterizing urbanization and agricu…
Assessing the Number of Criteria in GIS ‐Based Multicriteria Evaluation: A Machine Learning Approach
The analytical hierarchy process (AHP) is a widely used approach and a decision rule to derive criteria weights in geographic information system‐based multi‐criteria evaluation (GIS‐MCE). However, one limitation of the AHP method is that it constrains the number of criteria that can be meaningfully weighted to typically seven to nine criteria. Recently, machine learning (ML) techniques have emerged as a compelling alternative for deriving criteri…
Computer Science (18 works) · Geography (15 works) · Data mining (11 works) · Land Use and Ecosystem Services (11 works) · Cartography (10 works) · Geographic information system (8 works) · Artificial Intelligence (7 works) · Engineering (6 works) · Geographic Information Systems Studies (6 works) · Geospatial analysis (5 works)