packpop2

This data provides information about population of Mashhad metropolice based on families,owners, tenants, and so on in each block in 2016. There a number of different targets that can be reached through this package such as population density This dataset contains 11 variables and 19943 rows.

source

Install the package

As a fundamental step, there is a need to install population package if you want to use this data set.

Here is a chunk in order to install the package:

knitr::opts_chunk$set(message = FALSE)
if(!require(remotes)){
    install.packages("remotes")
    library(remotes)
}
remotes::install_github("NiloofarNL/packpop2")

##   
  
  
   checking for file 'C:\Users\bahman.notebook\AppData\Local\Temp\RtmpeI7d2k\remotes2bb4544b59d4\NiloofarNL-packpop2-2e3c417/DESCRIPTION' ...
  
v  checking for file 'C:\Users\bahman.notebook\AppData\Local\Temp\RtmpeI7d2k\remotes2bb4544b59d4\NiloofarNL-packpop2-2e3c417/DESCRIPTION' (465ms)
## 
  
  
  
-  preparing 'packpop2': (768ms)
##    checking DESCRIPTION meta-information ...
  
   checking DESCRIPTION meta-information ... 
  
v  checking DESCRIPTION meta-information
## 
  
  
  
-  checking for LF line-endings in source and make files and shell scripts
## 
  
  
  
-  checking for empty or unneeded directories
## 
  
  
  
-  building 'packpop2_0.0.0.9000.tar.gz'
## 
  
   
##

Also a summary of this package can be seen by the chunk below:

library(packpop2)
summary(Population2016)

##     OBJECTID   Neighbourhoods        Families         Owners    
##  Min.   :  1   Length:173         Min.   :    0   Min.   :   0  
##  1st Qu.: 44   Class :character   1st Qu.: 2552   1st Qu.:1120  
##  Median : 87   Mode  :character   Median : 4620   Median :2096  
##  Mean   : 87                      Mean   : 5259   Mean   :2342  
##  3rd Qu.:130                      3rd Qu.: 7034   3rd Qu.:3020  
##  Max.   :173                      Max.   :20359   Max.   :8314  
##                                   NA's   :1       NA's   :1     
##     Tenants      Total Residential Units Apartment Units  House Units   
##  Min.   :    0   Min.   :    0           Min.   :    0   Min.   :    0  
##  1st Qu.: 1162   1st Qu.: 2478           1st Qu.: 1002   1st Qu.:  758  
##  Median : 2174   Median : 4540           Median : 2391   Median : 1428  
##  Mean   : 2456   Mean   : 5122           Mean   : 3079   Mean   : 2043  
##  3rd Qu.: 3258   3rd Qu.: 6812           3rd Qu.: 4583   3rd Qu.: 2595  
##  Max.   :10708   Max.   :19815           Max.   :12164   Max.   :13236  
##  NA's   :1       NA's   :1               NA's   :1       NA's   :1      
##  Cottages or Sheds  Shape_Length     Shape_Area       Area(Hectare)   
##  Min.   : 0.000    Min.   : 1899   Min.   :  190576   Min.   :  19.0  
##  1st Qu.: 0.000    1st Qu.: 4290   1st Qu.:  876015   1st Qu.:  88.0  
##  Median : 1.000    Median : 5364   Median : 1368233   Median : 137.0  
##  Mean   : 1.773    Mean   : 5857   Mean   : 1762437   Mean   : 176.3  
##  3rd Qu.: 2.000    3rd Qu.: 6925   3rd Qu.: 2067674   3rd Qu.: 207.0  
##  Max.   :48.000    Max.   :20888   Max.   :16678412   Max.   :1668.0  
##  NA's   :1                                                            
##  PopulationDensity   Population   
##  Min.   :  0.00    Min.   :    0  
##  1st Qu.: 76.75    1st Qu.: 8415  
##  Median :131.00    Median :15387  
##  Mean   :131.25    Mean   :17141  
##  3rd Qu.:175.00    3rd Qu.:23460  
##  Max.   :367.00    Max.   :71466  
##  NA's   :1

Following this, there is a list of libraries in this data set:

library(packpop2)
library(knitr)
library(ggplot2)

As mentioned before, this data set has 14 variables

OBJECTID	Id of each block as a factor
Neighbourhoods	The names of Mashhad’s neighbourhoods
Families	Number of families living in a block
Owners	Number of people who has their own property in a block
Tenants	Number of people who rent a property in a block
Total Residential Units	Whole number of residential suits in a block
Apartment Units	Number of suits in apartments in a block
House Units	Number of village houses in a block
Cottages or Sheds	Number of sheds in a block
Shape_Length	Surrounding a block in meter scale
Shape_Area	Surface area of a block in meter scale
Area(Hectare)	Surface area of a neighbourhoods in hectare scale
PopulationDensity	Population density of each neighbourhood
Population	Whole population of each neighbourhood

Also we can see the bar chart of population in each block

ggplot(data = Population2016, aes(x = OBJECTID, y = Population)) + 
  geom_bar(stat = "identity")

Population Density in Mashhad 2016

Here is another map

Mashhad’s Neighbourhoods in 2016

Assuming that population density (r) at distance r from the city center declines monotonically, (Chen 2008)reintroduce an empirical model that can be written as

\[\begin{equation} \label{eq:1} \rho(r) = \rho_0 exp (-br) = \rho_0 exp (-\frac{r}{r_0}) \end{equation}\]

Where \(\rho_0\) is a constant of propotionality which is supposed to equal the central density, that is, \(\rho\_0 = \rho(0)\), \(b\) denotes a rate at which the effect of distance attenuates, and \(r_0 = 1/b\) refers to a characteristic radius of urban population distribution.

Bibliography

Chen, Yanguang. 2008. “A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization.” Discrete Dynamics in Nature and Society 2008.

packpop2-vignette

packpop2

Install the package

Bibliography