Anahid Basiri
Biographic Data
| ID | 1341308 |
|---|---|
| NAME | Anahid Basiri |
| GIVEN NAMES | Anahid |
| FAMILY NAME | Basiri |
| SIGNATURE | BASIRI A |
| AFFILIATIONS | University of Glasgow |
| ORCID | 0000-0002-2399-1797 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Revealing urban–rural migration corridors through edge-path bundling of historical census data in Bulgaria
This featured graphic visualises internal migration flows in Bulgaria using settlement-level census data from 1934 to 1946, highlighting how topography and local factors shaped migration and urbanisation. By combining spatial interaction models (SIMs) and edge-path bundling techniques, we reveal fine-scale migration corridors and the role of mountainous terrain in influencing mobility. The SIM approach goes beyond aggregate district analysis to p…
Missing Data Can Be a Geographic Phenomenon
Missing data is a problem across all types of analysis, with survey nonresponses just one example of a universal problem. This is particularly the case with survey questions on sensitive topics, such as ethnicity or income, as these are often not answered. This can introduce bias into the data and present a challenge to analysts, particularly as they can lead to incorrect conclusions and policy recommendations. Accordingly, methods have been deve…
Construction enthusiasts versus demolition giants
This study uses building footprint data from the Ordnance Survey MasterMap to analyze construction and demolition activities across England from 2017 to 2023. By comparing the Topographic Object Identifiers (TOIDs) of each building between years, we identified newly constructed and demolished buildings, quantified changes, and used the bivariate color maps to visualize spatial patterns across England and within its five major cities. The study hi…
Where England's cities are growing
Urban development is shaped by demographic and socio-economic factors, while simultaneously influencing these dynamics. Understanding these complex relationships is essential for informed urban planning, yet previous research has struggled with fine-scale analysis over large areas due to data and methodological limitations. This study overcomes these challenges by leveraging high-resolution building footprint data and eXplainable AI (XAI). Focusi…
Diagnosing Spatial and Temporal Biases of OSM Contributors
OpenStreetMap (OSM) is one of the most successful participatory mapping platforms for creating and editing geographic data. Despite being technically open and available to anyone to contribute, there is a significant demographic participation bias in the population of the contributors of OSM. Due to privacy concerns and (pseudo-) anonymity of contributors, understanding the significance and impacts of these biases is difficult. This paper uses a …
D map creation using crowdsourced GNSS data
3D maps are increasingly useful for many applications such as drone navigation, emergency services, and urban planning. However, creating 3D maps and keeping them up-to-date using existing technologies, such as laser scanners, is expensive. This paper proposes and implements a novel approach to generate 2.5D (otherwise known as 3D level-of-detail (LOD) 1) maps for free using Global Navigation Satellite Systems (GNSS) signals, which are globally a…
Where England's cities are growing
Urban development is shaped by demographic and socio-economic factors, while simultaneously influencing these dynamics. Understanding these complex relationships is essential for informed urban planning, yet previous research has struggled with fine-scale analysis over large areas due to data and methodological limitations. This study overcomes these challenges by leveraging high-resolution building footprint data and eXplainable AI (XAI). Focusi…
D map creation using crowdsourced GNSS data
3D maps are increasingly useful for many applications such as drone navigation, emergency services, and urban planning. However, creating 3D maps and keeping them up-to-date using existing technologies, such as laser scanners, is expensive. This paper proposes and implements a novel approach to generate 2.5D (otherwise known as 3D level-of-detail (LOD) 1) maps for free using Global Navigation Satellite Systems (GNSS) signals, which are globally a…
Construction enthusiasts versus demolition giants
This study uses building footprint data from the Ordnance Survey MasterMap to analyze construction and demolition activities across England from 2017 to 2023. By comparing the Topographic Object Identifiers (TOIDs) of each building between years, we identified newly constructed and demolished buildings, quantified changes, and used the bivariate color maps to visualize spatial patterns across England and within its five major cities. The study hi…
Where England's cities are growing
Urban development is shaped by demographic and socio-economic factors, while simultaneously influencing these dynamics. Understanding these complex relationships is essential for informed urban planning, yet previous research has struggled with fine-scale analysis over large areas due to data and methodological limitations. This study overcomes these challenges by leveraging high-resolution building footprint data and eXplainable AI (XAI). Focusi…
Diagnosing Spatial and Temporal Biases of OSM Contributors
OpenStreetMap (OSM) is one of the most successful participatory mapping platforms for creating and editing geographic data. Despite being technically open and available to anyone to contribute, there is a significant demographic participation bias in the population of the contributors of OSM. Due to privacy concerns and (pseudo-) anonymity of contributors, understanding the significance and impacts of these biases is difficult. This paper uses a …
Revealing urban–rural migration corridors through edge-path bundling of historical census data in Bulgaria
This featured graphic visualises internal migration flows in Bulgaria using settlement-level census data from 1934 to 1946, highlighting how topography and local factors shaped migration and urbanisation. By combining spatial interaction models (SIMs) and edge-path bundling techniques, we reveal fine-scale migration corridors and the role of mountainous terrain in influencing mobility. The SIM approach goes beyond aggregate district analysis to p…
Missing Data Can Be a Geographic Phenomenon
Missing data is a problem across all types of analysis, with survey nonresponses just one example of a universal problem. This is particularly the case with survey questions on sensitive topics, such as ethnicity or income, as these are often not answered. This can introduce bias into the data and present a challenge to analysts, particularly as they can lead to incorrect conclusions and policy recommendations. Accordingly, methods have been deve…
Computer Science (4 works) · Geography (4 works) · Archaeology (2 works) · Cartography (2 works) · Data science (2 works) · Footprint (2 works) · Housing Market and Economics (2 works) · Land Use and Ecosystem Services (2 works) · 3D city models (1 work) · 3D Modeling in Geospatial Applications (1 work)