Emmanuel Stefanakis
Biographic Data
| ID | 4599373 |
|---|---|
| NAME | Emmanuel Stefanakis |
| GIVEN NAMES | Emmanuel |
| FAMILY NAME | Stefanakis |
| SIGNATURE | STEFANAKIS E |
| AFFILIATIONS | University of Calgary |
| ORCID | 0000-0002-0062-5647 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Maps on the Web
The popularity of web maps has grown rapidly in recent years. While some older individuals may still remember it, it is hard for younger people to even imagine a world without web maps (or, similarly, without mobile phones), a world that was a reality less than a third of a century ago. This article explores the development of the internet and the Web, examines the evolution of web mapping through Web 1.0 and 2.0 technologies, and highlights the …
Multi-Scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids
Among the most prevalent natural hazards, flooding has been threatening human lives and properties. Robust flood simulation is required for effective response and prevention. Machine learning is widely used in flood modeling due to its high performance and scalability. Nonetheless, data pre-processing of heterogeneous sources can be cumbersome, and traditional data processing and modeling have been limited to a single resolution. This study emplo…
Mapping the Pandemic
Cartographica: The International Journal for Geographic Information and Geovisualization - Volume 56, Number 1, Spring 2021
Integration of heterogeneous terrain data into Discrete Global Grid Systems
The Canadian Digital Elevation Model (CDEM) and the High-Resolution Digital Elevation Model (HRDEM) released by Natural Resources Canada are primary terrain data sources in Canada. Due to their different coverage, datums, resolutions, and accuracies, a standardized framework for national elevation data across various scales is required. This study provides new insights into the adoption of Discrete Global Grid Systems (DGGS) to facilitate the int…
Geospatial Data Management Research
Without geospatial data management, today’s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatial data management plays a connecting role between data acquisition, data modelling, data visualization, and data analysis. It enables the continuous availability of geospatial data and the replica…
First-Year Engineering Students’ Research Experience in Web Mapping
Involving undergraduate students in research projects has been a growing trend in post-secondary education. This paper introduces three Web mapping applications developed by first-year engineering students at the University of Calgary. The projects were carried out over 16 weeks by students who did not have any previous knowledge of mapping or geospatial information systems. The outcomes clearly demonstrate the high competence and creativity of t…
Representation of Generalized Map Series Using Semi-Structured Data Models
Large cartographic organizations worldwide produce generalized map series (GMS) in order to meet various user requirements. A GMS consists of maps of the same geographic region at different scales. Most of these maps currently are designed in a digital environment, and recently some of them have been distributed through the web. One important issue is the appropriate modeling and handling of cartographic entities composing individual maps in a GM…
Integration of heterogeneous terrain data into Discrete Global Grid Systems
The Canadian Digital Elevation Model (CDEM) and the High-Resolution Digital Elevation Model (HRDEM) released by Natural Resources Canada are primary terrain data sources in Canada. Due to their different coverage, datums, resolutions, and accuracies, a standardized framework for national elevation data across various scales is required. This study provides new insights into the adoption of Discrete Global Grid Systems (DGGS) to facilitate the int…
Representation of Generalized Map Series Using Semi-Structured Data Models
Large cartographic organizations worldwide produce generalized map series (GMS) in order to meet various user requirements. A GMS consists of maps of the same geographic region at different scales. Most of these maps currently are designed in a digital environment, and recently some of them have been distributed through the web. One important issue is the appropriate modeling and handling of cartographic entities composing individual maps in a GM…
Geospatial Data Management Research
Without geospatial data management, today’s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatial data management plays a connecting role between data acquisition, data modelling, data visualization, and data analysis. It enables the continuous availability of geospatial data and the replica…
First-Year Engineering Students’ Research Experience in Web Mapping
Involving undergraduate students in research projects has been a growing trend in post-secondary education. This paper introduces three Web mapping applications developed by first-year engineering students at the University of Calgary. The projects were carried out over 16 weeks by students who did not have any previous knowledge of mapping or geospatial information systems. The outcomes clearly demonstrate the high competence and creativity of t…
Mapping the Pandemic
Cartographica: The International Journal for Geographic Information and Geovisualization - Volume 56, Number 1, Spring 2021
Integration of heterogeneous terrain data into Discrete Global Grid Systems
The Canadian Digital Elevation Model (CDEM) and the High-Resolution Digital Elevation Model (HRDEM) released by Natural Resources Canada are primary terrain data sources in Canada. Due to their different coverage, datums, resolutions, and accuracies, a standardized framework for national elevation data across various scales is required. This study provides new insights into the adoption of Discrete Global Grid Systems (DGGS) to facilitate the int…
Multi-Scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids
Among the most prevalent natural hazards, flooding has been threatening human lives and properties. Robust flood simulation is required for effective response and prevention. Machine learning is widely used in flood modeling due to its high performance and scalability. Nonetheless, data pre-processing of heterogeneous sources can be cumbersome, and traditional data processing and modeling have been limited to a single resolution. This study emplo…
Maps on the Web
The popularity of web maps has grown rapidly in recent years. While some older individuals may still remember it, it is hard for younger people to even imagine a world without web maps (or, similarly, without mobile phones), a world that was a reality less than a third of a century ago. This article explores the development of the internet and the Web, examines the evolution of web mapping through Web 1.0 and 2.0 technologies, and highlights the …
Computer Science (6 works) · Geography (5 works) · Cartography (4 works) · Database (4 works) · Geospatial analysis (4 works) · Data mining (3 works) · Geographic Information Systems Studies (3 works) · 3D Modeling in Geospatial Applications (2 works) · Data Management and Algorithms (2 works) · Data science (2 works)