The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/1b980be2-410e-43e4-a769-e09e76d27a09

Tsui, Tanya; Derumigny, Alexis; Peck, David; van Timmeren, Arjan; Wandl, Alexander (2023): Data, code and results underlying the publication: Spatial clustering of waste reuse in a circular economy. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1b980be2-410e-43e4-a769-e09e76d27a09.v1

Dataset

• Statistics
• Other Environmental Sciences
• Environmental Science and Management
• Urban and Regional Planning
• Other Information and Computing Sciences
• Environmentally Sustainable Construction
• Built Environment and Design
• Mathematical Sciences
• Information and Computing Sciences
• Construction
• Environmental Sciences

circular cities, circular economy, hotspot analysis, Moran’s I autocorrelation, spatial clustering analysis, urban metabolism, waste data

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CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Tanya Tsui , Alexis Derumigny, David Peck, Arjan van Timmeren, Alexander Wandl

This dataset contains data, code, and results for the academic paper analyzing the degree and scale of spatial clustering of waste reuse locations in the Netherlands using waste data from the Dutch Waste Registry (LMA). The paper is titled "Spatial clustering of waste reuse in a circular economy: A spatial autocorrelation analysis on locations of waste reuse in the Netherlands using global and local Moran’s I". This dataset is a zipfile containing the following:

• Results - folder containing results for spatial analysis of waste reuse locations in the Netherlands, including spatial clustering (global morans I), hotspot analysis (local moran's I).
• wasteReuseLocations - folder containing shp files of waste reuse locations in NL, aggregated at 10x10km spatial resolution.
• code - folder containing .py and .ipynb files used to conduct spatial clustering analysis.
• supplementary document.docx - document providing extra information (including links) for methodology and results of paper.

• 2023-07-19 first online, published, posted

4TU.ResearchData

py, ipynb, png, html, shp

Spatial clustering of waste reuse in a circular economy: A spatial autocorrelation analysis on locations of waste reuse in the Netherlands using global and local Moran’s I

• Pop-Machina (grant code 821479) [more info...] Horizon 2020

TU Delft, Faculty of Architecture and the Built Environment, Department of
Architectural Engineering and Technology
TU Delft, Faculty Electrical Engineering, Mathematics and Computer Science (EEMCS), Delft Institute of Applied Mathematics