Merve Polat Kayali
Merve Polat Kayali
PhD candidate
m.polat-kayali.1@research.gla.ac.uk
mmervepolat
0009-0009-6949-4284
Merve Polat Kayali
Merve Polat Kayali
Interests
missing data, augmented reality, geospatial data
Bio
I am a PhD student in Geospatial Data Science at the University of Glasgow. My research focuses on the visualisation of missing geospatial data using Augmented Reality. Before beginning my PhD at the University of Glasgow, I worked as a research assistant and a teaching assistant in Türkiye. I completed dual bachelor’s degrees in Computer Engineering and Industrial Engineering at Karabuk University. I earned my master’s degree in Computer Engineering with a thesis titled ‘GIS-based AR Application for Sightseeing Purposes: The Case of Safranbolu’.
Research
Merve POLAT KAYALI is a PhD student in Geospatial Data Science at the University of Glasgow. Her research focuses on the visualisation of missing geospatial data using Augmented Reality. Outcomes because the data we cannot see may have the potential to mislead us. Handling them properly is necessary to get better and more reliable results for our research. Since missing data may significantly impact decision-making, it can be crucial to understand how to communicate it effectively. We need to ask whether missing data helps us understand the process and whether it is important for decision-making. Understanding the significance of the interaction with missingness may help us to improve the visualisation of missing geospatial data.
Prior to embarking on her PhD at the University of Glasgow, she worked as a research assistant and teaching assistant in Turkey. She holds dual bachelor’s degrees in Computer Engineering and Industrial Engineering, and she earned her master’s degree in Computer Engineering with a thesis titled ‘GIS-based AR Application for Sightseeing Purposes: The Case of Safranbolu’.
More
Publications
2023
- Assessing the Relationship Between Socio-Demographic Characteristics and OpenStreetMap Contributor BehavioursIn 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data (GeoSocial 2023), Oct 2023
2022
- A Participatory Approach to Develop Missing Geospatial Data VisualisationIn European Cartographic Conference – EuroCarto 2022, Sep 2022
- Classification of Missing Geospatial Data from Structure and Mechanism PerspectiveIn 30th Annual Geographical Information Science Research UK (GISRUK), Apr 2022