reunion_ttw: Census data on travel to work flow between Reunion Island...
In ttwa: Travel To Work Area.
Description
Usage
Format
Source
See Also
Examples
Description
A flow data frame travel to work between Reunion island municipalities from census (2010).
Usage
1
Format
A data frame with 5732 observations on the following 4 variables.
HOMEa character vector, INSEE Ids of the municipalities of the resident population
WORKa character vector, INSEE Ids of the municipalities of work
FLOWa numeric vector, working flow between the municipality of residence and the municipality of work
CONTIa numeric vector, indicator function of the contiguity between the municipality of residence and the municipality of work
Source
Mobilites professionnelles (deplacements domicile - lieu de travail) - 2010 (Bases flux de mobilite)
Decoupage geographique au 01/01/2012 - Mise a jour : juin 2013
Insee, Recensements de la population
Original data can be retreived here :
http://www.insee.fr/fr/bases-de-donnees/default.asp?page=recensement/resultats/doc/presentation-flux-mobilite-prof.htm
See Also
Examples
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11
data(reunion_ttw) #commuting flow in Reunion island
zone_emploi<-ttwa(df=reunion_ttw,origin="HOME",
destination="WORK", flow="FLOW",
conti="CONTI",size_center=50000)
zone_emploi$statistic #Zoning quality
# 4 centers : Saint-Denis, Saint-Paul, Saint-Pierre and Saint-Benoit
center_emploi<-ttwa(df=reunion_ttw,origin="HOME",
destination="WORK",flow="FLOW",
conti="CONTI",size_center=500000,
list_center=c("97411","97415","97416","97410"))
center_emploi$statistic
Example output
Loading required package: data.table
Greedy processus :
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zone t_outflow rate_steady size
1 97407 63761.26 0.8249871 5
2 97411 96523.50 0.9451433 9
3 97416 79914.94 0.9160533 10
Greedy processus :
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zone t_outflow rate_steady size
1 97410 11645.34 0.6689784 3
2 97411 104899.06 0.9293482 8
3 97415 34454.05 0.6465637 2
4 97416 89201.25 0.9065907 11
ttwa documentation built on May 1, 2019, 6:31 p.m.
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Description Usage Format Source See Also Examples
Description
A flow data frame travel to work between Reunion island municipalities from census (2010).
Usage
1 |
Format
A data frame with 5732 observations on the following 4 variables.
HOMEa character vector, INSEE Ids of the municipalities of the resident population
WORKa character vector, INSEE Ids of the municipalities of work
FLOWa numeric vector, working flow between the municipality of residence and the municipality of work
CONTIa numeric vector, indicator function of the contiguity between the municipality of residence and the municipality of work
Source
Mobilites professionnelles (deplacements domicile - lieu de travail) - 2010 (Bases flux de mobilite)
Decoupage geographique au 01/01/2012 - Mise a jour : juin 2013
Insee, Recensements de la population
Original data can be retreived here : http://www.insee.fr/fr/bases-de-donnees/default.asp?page=recensement/resultats/doc/presentation-flux-mobilite-prof.htm
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 | data(reunion_ttw) #commuting flow in Reunion island
zone_emploi<-ttwa(df=reunion_ttw,origin="HOME",
destination="WORK", flow="FLOW",
conti="CONTI",size_center=50000)
zone_emploi$statistic #Zoning quality
# 4 centers : Saint-Denis, Saint-Paul, Saint-Pierre and Saint-Benoit
center_emploi<-ttwa(df=reunion_ttw,origin="HOME",
destination="WORK",flow="FLOW",
conti="CONTI",size_center=500000,
list_center=c("97411","97415","97416","97410"))
center_emploi$statistic
|
Example output
Loading required package: data.table
Greedy processus :
|
| | 0%
|
|=== | 4%
|
|====== | 8%
|
|========= | 12%
|
|============ | 17%
|
|=============== | 21%
|
|================== | 25%
|
|==================== | 29%
|
|======================= | 33%
|
|========================== | 38%
|
|============================= | 42%
|
|================================ | 46%
|
|=================================== | 50%
|
|====================================== | 54%
|
|========================================= | 58%
|
|============================================ | 62%
|
|=============================================== | 67%
|
|================================================== | 71%
|
|==================================================== | 75%
|
|======================================================= | 79%
|
|========================================================== | 83%
|
|============================================================= | 88%
zone t_outflow rate_steady size
1 97407 63761.26 0.8249871 5
2 97411 96523.50 0.9451433 9
3 97416 79914.94 0.9160533 10
Greedy processus :
|
| | 0%
|
|=== | 4%
|
|====== | 8%
|
|========= | 12%
|
|============ | 17%
|
|=============== | 21%
|
|================== | 25%
|
|==================== | 29%
|
|======================= | 33%
|
|========================== | 38%
|
|============================= | 42%
|
|================================ | 46%
|
|=================================== | 50%
|
|====================================== | 54%
|
|========================================= | 58%
|
|============================================ | 62%
|
|=============================================== | 67%
|
|================================================== | 71%
|
|==================================================== | 75%
|
|======================================================= | 79%
|
|========================================================== | 83%
zone t_outflow rate_steady size
1 97410 11645.34 0.6689784 3
2 97411 104899.06 0.9293482 8
3 97415 34454.05 0.6465637 2
4 97416 89201.25 0.9065907 11
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