Enhancing QGreenland with Socio-Econmic Data & to Support Risk Investigations
Document Type
Event
Faculty Mentor
Vinton Valentine
Abstract
Using SQL-based data processing and GDAL/OGR tools, this project updates multiple datasets for inclusion in the upcoming QGreenland 4.0 update. The inclusion of Population data for Greenlandic districts and settlements from 1977 to 2026 was reformatted to support time-series visualization within GIS software. This time series visualization will enable users to see how Greenland’s population and have changed over time. Additionally, datasets were integrated to represent key aspects of Greenland’s socio-economic landscape. These datasets include: Cruise and international flight passengers, catch of fish, shellfish, and walrus, fishing fleets, employment, and unemployment rates. These datasets were spatially joined with the preexisting geometry of current settlement locations, resulting in standardized and reproducible SQL queries. The workflows are to be documented through a detailed data recipe and provenance file, ensuring that the processing steps can be replicated by other researchers and future QGreenland developers. Lastly, this project will conclude with an analysis of the potential risks posed to Greenland's towns and settlements by melt lakes and floodwater coming off the ice sheet. By integrating environmental hazard data with the demographic and economic datasets developed in this project, a comprehensive evaluation of the towns and settlements at risk has the potential to strengthen the ability of scientists, policymakers, and local stakeholders to study the interactions between climate change, economic activity, and community vulnerability in Greenland.
Enhancing QGreenland with Socio-Econmic Data & to Support Risk Investigations
Using SQL-based data processing and GDAL/OGR tools, this project updates multiple datasets for inclusion in the upcoming QGreenland 4.0 update. The inclusion of Population data for Greenlandic districts and settlements from 1977 to 2026 was reformatted to support time-series visualization within GIS software. This time series visualization will enable users to see how Greenland’s population and have changed over time. Additionally, datasets were integrated to represent key aspects of Greenland’s socio-economic landscape. These datasets include: Cruise and international flight passengers, catch of fish, shellfish, and walrus, fishing fleets, employment, and unemployment rates. These datasets were spatially joined with the preexisting geometry of current settlement locations, resulting in standardized and reproducible SQL queries. The workflows are to be documented through a detailed data recipe and provenance file, ensuring that the processing steps can be replicated by other researchers and future QGreenland developers. Lastly, this project will conclude with an analysis of the potential risks posed to Greenland's towns and settlements by melt lakes and floodwater coming off the ice sheet. By integrating environmental hazard data with the demographic and economic datasets developed in this project, a comprehensive evaluation of the towns and settlements at risk has the potential to strengthen the ability of scientists, policymakers, and local stakeholders to study the interactions between climate change, economic activity, and community vulnerability in Greenland.
