waste: Urban waste composition in Catalonia
In coda.base: A Basic Set of Functions for Compositional Data Analysis
waste R Documentation
Urban waste composition in Catalonia
Description
The 'waste' data set studies the relationship between waste composition and
floating population in Catalonia. The actual population of a municipality
combines census population and floating population (tourists, seasonal
visitors, temporary workers, and similar short-term residents), expressed as
equivalent full-time residents.
The composition of urban solid waste is classified into five parts:
'x1': non-recyclable waste,
'x2': glass,
'x3': light containers,
'x4': paper and cardboard,
'x5': biodegradable waste.
Waste generation and composition are influenced by floating population, which
makes waste composition a useful predictor of this difficult-to-measure
demographic quantity.
Usage
waste
Format
An object of class data.frame with 215 rows and 10 columns.
References
Coenders, G., Martín-Fernández, J. A., & Ferrer-Rosell, B. (2017).
When relative and absolute information matter: compositional predictor
with a total in generalized linear models. Statistical Modelling,
17(6), 494–512.
coda.base documentation built on March 4, 2026, 9:06 a.m.
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| waste | R Documentation |
Urban waste composition in Catalonia
Description
The 'waste' data set studies the relationship between waste composition and floating population in Catalonia. The actual population of a municipality combines census population and floating population (tourists, seasonal visitors, temporary workers, and similar short-term residents), expressed as equivalent full-time residents.
The composition of urban solid waste is classified into five parts:
'x1': non-recyclable waste,
'x2': glass,
'x3': light containers,
'x4': paper and cardboard,
'x5': biodegradable waste.
Waste generation and composition are influenced by floating population, which makes waste composition a useful predictor of this difficult-to-measure demographic quantity.
Usage
waste
Format
An object of class data.frame with 215 rows and 10 columns.
References
Coenders, G., Martín-Fernández, J. A., & Ferrer-Rosell, B. (2017). When relative and absolute information matter: compositional predictor with a total in generalized linear models. Statistical Modelling, 17(6), 494–512.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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