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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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SWECO25: Population density (pop)

Authors: Nathan Külling; Antoine Adde;

SWECO25: Population density (pop)

Abstract

The population density category (SWECO25 v1.0.0) contains the "statpop" dataset. The statpop dataset describes the population density in Switzerland. Using the “Population and Households Statistics” (STAPOP) data points (FSO, 2020), we generated yearly raster layers for the 2010-2020 period. For each year, we computed 13 focal statistics layers by applying a cell-level function calculating the mean and the total (sum) number of inhabitants in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 297 layers. As requested by the FSO, for privacy concerns, pixels with 1 to 4 inhabitants were given a value of 4. Final values were rounded and multiplied by 100. This dataset includes a total of 297 layers. The detailed list of layers available is provided in SWECO25_datalayers_details_pop.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path. Reference: Swiss Federal Statistical Office [FSO]. Population and Households Statistics (STAPOP). (Neuchâtel, Switzerland, 2020).

We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.

Keywords

spatial data, raster, population density, Switzerland

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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1
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Italian National Biodiversity Future Center