In NiloofarNL/packpop2: Mashhad Population in 2016

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")

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

library(packpop2)
summary(Population2016)

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")

Here is another map

Assuming that population density \rho(r) at distance r from the city center declines monotonically, [@chen2008wave]reintroduce an empirical model that can be written as

{=tex} \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

NiloofarNL/packpop2 documentation built on Dec. 17, 2021, 5:26 a.m.