@article{Oladiji2026, 
author = {Adekunle Oladiji and Phoey Lee Teh and Colin Sokol Kuka},
title = {Tracking Carbon Emissions: Mapping CO2 in North Wales},
year = {2026},
journal = {Journal of Social Computing},
volume = {7},
number = {2},
pages = {163-178},
keywords = {data for social good, big data analysis, human-centric computing, CO2 emissions, geospatial analysis},
url = {https://www.sciopen.com/article/10.23919/JSC.2026.0007},
doi = {10.23919/JSC.2026.0007},
abstract = {In response to escalating global and national commitments to net-zero carbon targets, there is an increasing imperative to enhance awareness of carbon dioxide (CO2) concentrations at the community level. This study investigates spatial patterns of CO2 emissions across Wrexham County Borough, which comprises 34 administrative communities in northeastern Wales. By integrating satellite-derived CO2 concentration datasets with official boundary data using Python-based geospatial libraries and online geographic information systems, we generated interactive spatial visualisations to identify persistent emission hotspots. The analysis reveals consistently elevated CO2 levels in the northeastern communities, particularly Rossett and Holt. These visual outputs offer transparent, reproducible, and accessible insights to support evidence-based environmental planning, public engagement, and local policy development.}
}