paris_data: Example data for commuting flows within Paris
In LukeCe/spflow: Spatial Econometric Interaction Models
paris_data R Documentation
Example data for commuting flows within Paris
Description
The package includes data set that contains home-to-work
commuting flows for 71 municipalities around the center of Paris.
The data for the example is stored in three objects
Usage
paris10km_municipalities
paris10km_commuteflows
paris10km_neighborhood
Format
An object of class sf (inherits from data.frame) with 71 rows and 6 columns.
An object of class data.frame with 5041 rows and 4 columns.
An object of class list of length 3.
Details
-
paris10km_municipalities contains information on the municipalities.
It contains some socio-economic variables, the identifier of the
municipality and a geometry column.
The geometry is a MULTIPOLYGON that describes the shape of the region.
-
paris10km_commuteflows contains information on pairs of municipalities.
It is a data.frame with origin and destination identifiers and contains
the information on the size of the commuting flows and the distance.
-
paris10km_neighborhood contains three sparse matrices that represent
alternative definitions of the neighborhood of the municipalities.
The first is based on contiguity, the second one on distance and the third
one is based on the three nearest neighbors.
Author(s)
Lukas Dargel
Source
The data combines different public sources (last accessed 2021-05-05).
Three data sets are provided by INSEE.
More information on the rights to use and diffuse this data is provided here.
Commuting flows (https://www.insee.fr/fr/statistiques/fichier/3566477/base-texte-flux-mobilite-domicile-lieu-travail-2015.zip)
Number of companies (https://www.insee.fr/fr/statistiques/2021271)
Median income (https://www.insee.fr/fr/statistiques/3560121)
The geographies, population, and area of the municipalities come from OpenDataSoft and are available here.
This data set is published under an OPEN LICENCE.
LukeCe/spflow documentation built on Nov. 11, 2023, 8:20 p.m.
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| paris_data | R Documentation |
Example data for commuting flows within Paris
Description
The package includes data set that contains home-to-work commuting flows for 71 municipalities around the center of Paris. The data for the example is stored in three objects
Usage
paris10km_municipalities
paris10km_commuteflows
paris10km_neighborhood
Format
An object of class sf (inherits from data.frame) with 71 rows and 6 columns.
An object of class data.frame with 5041 rows and 4 columns.
An object of class list of length 3.
Details
-
paris10km_municipalitiescontains information on the municipalities. It contains some socio-economic variables, the identifier of the municipality and a geometry column. The geometry is a MULTIPOLYGON that describes the shape of the region. -
paris10km_commuteflowscontains information on pairs of municipalities. It is a data.frame with origin and destination identifiers and contains the information on the size of the commuting flows and the distance. -
paris10km_neighborhoodcontains three sparse matrices that represent alternative definitions of the neighborhood of the municipalities. The first is based on contiguity, the second one on distance and the third one is based on the three nearest neighbors.
Author(s)
Lukas Dargel
Source
The data combines different public sources (last accessed 2021-05-05).
Three data sets are provided by INSEE. More information on the rights to use and diffuse this data is provided here.
Commuting flows (https://www.insee.fr/fr/statistiques/fichier/3566477/base-texte-flux-mobilite-domicile-lieu-travail-2015.zip)
Number of companies (https://www.insee.fr/fr/statistiques/2021271)
Median income (https://www.insee.fr/fr/statistiques/3560121)
The geographies, population, and area of the municipalities come from OpenDataSoft and are available here. This data set is published under an OPEN LICENCE.
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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