accessibility

Calculate accessibility measures in R

https://github.com/ipeagit/accessibility

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

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codemeta.json file
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Scientific vocabulary similarity
Low similarity (16.7%) to scientific vocabulary

Keywords

accessibility r transport transport-accessibility

Last synced: 6 months ago · JSON representation

Repository

Calculate accessibility measures in R

Basic Info

Host: GitHub
Owner: ipeaGIT
License: other
Language: R
Default Branch: main
Homepage: https://ipeagit.github.io/accessibility/
Size: 13 MB

Statistics

Stars: 60
Watchers: 3
Forks: 9
Open Issues: 6
Releases: 7

Topics

accessibility r transport transport-accessibility

Created over 3 years ago · Last pushed about 1 year ago

Metadata Files

Readme Changelog License Codemeta

README.Rmd

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# accessibility 

[![CRAN
status](https://www.r-pkg.org/badges/version/accessibility)](https://CRAN.R-project.org/package=accessibility)
[![rcmdcheck](https://github.com/ipeaGIT/accessibility/workflows/rcmdcheck/badge.svg)](https://github.com/ipeaGIT/accessibility/actions)
[![CRAN/METACRAN Total
downloads](https://cranlogs.r-pkg.org/badges/grand-total/accessibility?color=yellow)](https://CRAN.R-project.org/package=accessibility)
[![Codecov test
coverage](https://codecov.io/gh/ipeaGIT/accessibility/branch/main/graph/badge.svg)](https://app.codecov.io/gh/ipeaGIT/accessibility?branch=main)
[![Lifecycle:
stable](https://lifecycle.r-lib.org/articles/figures/lifecycle-stable.svg)](https://lifecycle.r-lib.org/articles/stages.html)

**accessibility** offers a set of fast and convenient functions to help
conducting accessibility analyses. Given a pre-computed travel cost matrix and a
land use dataset (containing the location of jobs, healthcare and population,
for example), the package allows one to calculate accessibility levels and
accessibility poverty and inequality. The package covers the majority of the
most commonly used accessibility measures (such as cumulative opportunities,
gravity-based and floating catchment areas methods), as well as the most
frequently used inequality and poverty metrics (such as the Palma ratio, the
concentration and Theil indices and the FGT family of measures).

## Installation

Stable version:

```{r, eval = FALSE}
install.packages("accessibility")
```

Development version:

```{r, eval = FALSE}
# install.packages("remotes")
remotes::install_github("ipeaGIT/accessibility")
```

## Usage

This section aims to present a very brief overview of some of the packages'
features. Fore more details please read the vignettes:

- [Introduction to **accessibility**: calculating accessibility
  measures](https://ipeagit.github.io/accessibility/articles/accessibility.html)
- [Decay
  functions](https://ipeagit.github.io/accessibility/articles/decay_functions.html)
- [Calculating accessibility inequality and
  poverty](https://ipeagit.github.io/accessibility/articles/inequality_and_poverty.html)

To calculate accessibility levels, one simply needs a pre-calculated travel
matrix and some land use data. Below we showcase some of the available
functions:

```{r}
library(accessibility)

data_dir <- system.file("extdata", package = "accessibility")
travel_matrix <- readRDS(file.path(data_dir, "travel_matrix.rds"))
land_use_data <- readRDS(file.path(data_dir, "land_use_data.rds"))

cum_cutoff <- cumulative_cutoff(
  travel_matrix,
  land_use_data,
  opportunity = "jobs",
  travel_cost = "travel_time",
  cutoff = 30
)
head(cum_cutoff)

grav <- gravity(
  travel_matrix,
  land_use_data,
  opportunity = "schools",
  travel_cost = "travel_time",
  decay_function = decay_exponential(decay_value = 0.2)
)
head(grav)

fca <- floating_catchment_area(
  travel_matrix,
  land_use_data,
  opportunity = "jobs",
  travel_cost = "travel_time",
  demand = "population",
  method = "2sfca",
  decay_function = decay_binary(cutoff = 50)
)
head(fca)
```

Calculating inequality and poverty levels is equally easy. Below we use the
previously calculated cumulative accessibility dataset to show some of the
available inequality and poverty functions:

```{r}
palma <- palma_ratio(
  cum_cutoff,
  sociodemographic_data = land_use_data,
  opportunity = "jobs",
  population = "population",
  income = "income_per_capita"
)
palma

poverty <- fgt_poverty(
  cum_cutoff,
  sociodemographic_data = land_use_data,
  opportunity = "jobs",
  population = "population",
  poverty_line = 95368
)
poverty
```

## Related work:

- [r5r](https://github.com/ipeaGIT/r5r): Rapid Realistic Routing with R5 in R
- [tracc](https://github.com/jamaps/tracc): Transport accessibility measures in
  Python
- [access](https://access.readthedocs.io/en/latest/): Spatial Access for PySAL
- [aceso](https://github.com/tetraptych/aceso): a lightweight Python package for
  measuring spatial accessibility

## Acknowledgement 

**accessibility** is developed by a team at the Institute for Applied Economic Research (Ipea), Brazil.

Owner

Name: IpeaDIRUR
Login: ipeaGIT
Kind: organization

Repositories: 19
Profile: https://github.com/ipeaGIT

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GitHub Events

Total

Issues event: 1
Watch event: 3
Issue comment event: 1
Push event: 4

Last Year

Issues event: 1
Watch event: 3
Issue comment event: 1
Push event: 4

Committers

Last synced: 7 months ago

All Time

Total Commits: 311
Total Committers: 6
Avg Commits per committer: 51.833
Development Distribution Score (DDS): 0.347

Past Year

Commits: 4
Committers: 1
Avg Commits per committer: 4.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Daniel Herszenhut	d**z@g**m	203
rafapereirabr	r**r@g**m	99
rafapereirabr	r**r@g**m	5
Antonio Paez	p**a@g**m	2
olivroy	5****y	1
Joey Reid	b****e	1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 51
Total pull requests: 6
Average time to close issues: about 2 months
Average time to close pull requests: 7 days
Total issue authors: 6
Total pull request authors: 5
Average comments per issue: 1.88
Average comments per pull request: 1.33
Merged pull requests: 5
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 2
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 1
Pull request authors: 0
Average comments per issue: 0.5
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

rafapereirabr (35)
dhersz (10)
botanize (1)
Mehrnaz-accessibility (1)
baarthur (1)

Pull Request Authors

botanize (2)
paezha (2)
soukhova (1)
olivroy (1)
dhersz (1)

Top Labels

Issue Labels

v1.4.0 (3) help wanted (1) enhancement (1)

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- cran 502 last-month

Total dependent packages: 1
Total dependent repositories: 0
Total versions: 7
Total maintainers: 1

cran.r-project.org: accessibility

Transport Accessibility Measures

Homepage: https://github.com/ipeaGIT/accessibility
Documentation: http://cran.r-project.org/web/packages/accessibility/accessibility.pdf
License: MIT + file LICENSE
Latest release: 1.4.0
published almost 2 years ago

Versions: 7
Dependent Packages: 1
Dependent Repositories: 0
Downloads: 502 Last month

Rankings

Stargazers count: 8.9%

Forks count: 12.8%

Average: 23.1%

Downloads: 28.6%

Dependent packages count: 29.8%

Dependent repos count: 35.5%

Maintainers (1)

dhersz@gmail.com

Last synced: about 1 year ago

Dependencies

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DESCRIPTION cran

R >= 3.5.0 depends
Rdpack >= 0.7 imports
checkmate * imports
data.table * imports
utils * imports
covr * suggests
ggplot2 * suggests
knitr * suggests
rmarkdown * suggests
sf * suggests
stats * suggests
testthat * suggests

ecosyste.ms

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Open Source Science

accessibility

Science Score: 26.0%

Keywords

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Basic Info

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README.Rmd

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GitHub Events

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