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Analysis and data of beach-litter-surveys in Switzerland 2015-2021. Notebooks and maps for documenting and producing basic analysis of survey results.

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hammerdirt-analyst/IQAASL-End-0f-Sampling-2021

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Identification, quantification and analysis of observable anthropogenic debris along swiss river and lakes (IQAASL)

DOI

IQAASL was a project sponsored by the Swiss Federal Office for the Environment to quantify shoreline trash along swiss lakes and rivers. Multiple small scale litter surveys are completed at different locations within a designated survey area. For the year 2020/2021 the survey areas were defined by the municipalities that border the Aare, Rhône, Ticino and Linth/Limmat rivers and any lakes or rivers that are within the catchment area.

This report was included in the Federal Office of the Environment Theme : Waste along swiss lakes and rivers

Since this report was produced there have been a few projects of interest:

  1. AI assisted reporting : app hosted on streamlit AI assisted reporting
  2. Predictive modeling: field excersises with EPFL students Solid Waste Team
  3. Geospatial analysis: land use
  4. Regional assessments: Plastock

Contents

Python modules

Their are two python modules: 1. reportingmethods.py and 2. prompts.py. Reporting methods is a collection of functions and three classes that are used to generate the contents of most chpaters. The prompts module contains the labels and prompts that used in the AI assisted reporter

reources/data

The survey data and feature data. The contents are documented in DATAREADME.md

resources/references

The references we found useful in the development of the report. For each section there is a bibliography.

Contributing

Their currently no funding for this project or any active development. If you would like to contribute to the project please contact the authors.

more information

analyst@hammerdirt.ch or dev@hammerdirt.ch

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Analysis and data of beach-litter-surveys in Switzerland 2015-2021. Notebooks and maps for documenting and producing basic analysis of survey results.

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