Stefan Wegenkittl
Biographic Data
| ID | 9965124 |
|---|---|
| NAME | Stefan Wegenkittl |
| GIVEN NAMES | Stefan |
| FAMILY NAME | Wegenkittl |
| SIGNATURE | WEGENKITTL S |
| AFFILIATIONS | Fachhochschule Salzburg |
| ORCID | 0000-0002-3297-7997 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Modeling Patterns in Map Use Contexts and Mobile Map Design Usability
Mobile map applications are increasingly used in various aspects of our lives, leading to an increase in different map use situations and, therefore, map use contexts. Several empirical usability studies have identified how map design is associated with and impacted by selected map use context attributes. This research seeks to expand on these studies and analyzes combinations of map use contexts to identify relevant contextual factors that influ…
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics
In 2015, within the timespan of only a few months, more than a million people made their way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public authorities and relief organisations struggled with the admission, transfer, care, and accommodation of refugees due to the information gap about ongoing refugee movements. Therefore, we propose an approach utilising machine learning methods and publicly available data …
No prominent works on this page.
Modeling Patterns in Map Use Contexts and Mobile Map Design Usability
Mobile map applications are increasingly used in various aspects of our lives, leading to an increase in different map use situations and, therefore, map use contexts. Several empirical usability studies have identified how map design is associated with and impacted by selected map use context attributes. This research seeks to expand on these studies and analyzes combinations of map use contexts to identify relevant contextual factors that influ…
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics
In 2015, within the timespan of only a few months, more than a million people made their way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public authorities and relief organisations struggled with the admission, transfer, care, and accommodation of refugees due to the information gap about ongoing refugee movements. Therefore, we propose an approach utilising machine learning methods and publicly available data …
Computer Science (2 works) · Geographic Information Systems Studies (2 works) · Human Mobility and Location-Based Analysis (2 works) · World Wide Web (2 works) · Accommodation (1 works) · Artificial Intelligence (1 works) · Concept map (1 works) · Data science (1 works) · Geography (1 works) · Human–computer interaction (1 works)