The Geography of Litter - Typology Data

Society has a strong, complex and long-term relationship with waste materials and much can be learned about behaviour from examining it. The ability to deduct activities from litter is a testament to the significance of post-consumption analysis, facilitated by the ability for litter to maintain its identity long after it has been disposed of. This study focuses on littered items to identify which consumption activities contribute the most. Data within are an excel document which includes litter counts from 4 separate counting sessions in four different cities, where items have been categorised into 34 separate typologies. The further tabs in the document group typology counts by source activity and integrates Litter Impact Scores generated in a seperate study. Also in the excel is a Metadata tab that includes detailed descriptions of contents. A shapefile (TypologySites) generated in QGIS is also attached that defines all data collection sectors and subsectors, where the value UniqueID allows a join with excel data.

Note that the dataset has been peer reviewed since completion and differs slightly from results presented in thesis.