manuscript-bcsa-2024: Data analysis code for manuscript on "Light Absorbing Carbonaceous Aerosols: Concentrations and Sources in an Under-Monitored Setting"

The "manuscript-bcsa-2024" package provide code for data analysis for the manuscript on "Light Absorbing Carbonaceous Aerosols: Concentrations and Sources in an Under-Monitored Setting". The package contains code for generating all the figures and tables in the main text and appendix. The data used in the manuscript is published as a separate R package called "bcsa: Data for source-apportionment of light absorbing carbon in Blantyre, Malawi"    This study used the MA200 micro-aethalometer to measure the LAC concentrations.The MA200 measures the LAC concentrations in real-time at five different wavelengths, that allows for source apportionment.   We used a novel clustering approach for source apportionment. The clustering approach is explained in detail in another manuscript by Vijay et al. (2024)  To cite package "manuscript-bcsa-2024" in publications use:  Vijay, S., Tilley, E., & Schöbitz, L. (2024). manuscript-bcsa-2024: Data analysis code for manuscript on "Light Absorbing Carbonaceous Aerosols: Concentrations and Sources in an Under-Monitored Setting" (v0.1.1). Zenodo. doi.org