https://github.com/edwindj/sdcSpatial

Create privacy protected maps with R
https://github.com/edwindj/sdcSpatial

Last synced: about 2 months ago
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Create privacy protected maps with R

• Host: GitHub
• URL: https://github.com/edwindj/sdcSpatial
• Owner: edwindj
• Created: 2018-05-29T14:19:59.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-07-09T08:09:42.000Z (2 months ago)
• Last Synced: 2024-07-09T10:37:49.432Z (2 months ago)
• Language: R
• Homepage: https://edwindj.github.io/sdcSpatial/
• Size: 35 MB
• Stars: 6
• Watchers: 3
• Forks: 1
• Open Issues: 11
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r setup, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

[![CRAN status](https://www.r-pkg.org/badges/version/sdcSpatial)](https://cran.r-project.org/package=sdcSpatial)

[![R build status](https://github.com/edwindj/sdcSpatial/workflows/R-CMD-check/badge.svg)](https://github.com/edwindj/sdcSpatial/actions)

[![](https://cranlogs.r-pkg.org/badges/sdcSpatial)](https://cran.r-project.org/package=sdcSpatial)

[![status](https://tinyverse.netlify.com/badge/sdcSpatial)](https://CRAN.R-project.org/package=sdcSpatial)

[![Mentioned in Awesome Official Statistics](https://awesome.re/mentioned-badge.svg)](http://www.awesomeofficialstatistics.org)

# sdcSpatial

_Publishing a raster density map can reveal sensitive values_.

`sdcSpatial` is an opensource R package for creating spatial density (raster) 

maps from point data while protecting the privacy of individual observations. 

`sdcSpatial` offers a `sdc_raster` class that allows to:

- find out which locations are considered sensitive / unsafe for publishing: `plot_sensitive`, `is_sensitive`, `sensitivity_score`.

- apply protection methods that reduce sensitiviy and enhance spatial patterns: `protect_smooth`, `protect_quadtree`.

- remove sensitive locations: `remove_sensitive`.

- extract relative as well as absolute density `raster`s that can be used with visualisation packages, such as `tmap` and `leaflet`: `x$value$mean`, `x$value$sum`, `mean`, `sum`.

## Installation

```r

install.packages("sdcSpatial")

```

To install the current development version of  `sdcSpatial`  with `devtools`

```r

remotes::install_github("edwindj/sdcSpatial")

```

## Example

```{r example, code=head(readLines("./example/protect_smooth.R")[-1],-1)}

```