spatsoc

:package: spatsoc is an R package for detecting spatial and temporal groups in GPS relocations.

https://github.com/ropensci/spatsoc

Science Score: 67.0%

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

  • CITATION.cff file
    Found CITATION.cff file
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    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: wiley.com
  • Committers with academic emails
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.9%) to scientific vocabulary

Keywords

animal gps network r r-package rstats social spatial

Keywords from Contributors

reproducibility ecology
Last synced: 4 months ago · JSON representation ·

Repository

:package: spatsoc is an R package for detecting spatial and temporal groups in GPS relocations.

Basic Info
Statistics
  • Stars: 24
  • Watchers: 4
  • Forks: 2
  • Open Issues: 15
  • Releases: 27
Topics
animal gps network r r-package rstats social spatial
Created over 7 years ago · Last pushed 4 months ago
Metadata Files
Readme Changelog Contributing License Citation Codemeta

README.Rmd

---
output: github_document
---

```{r opts, include = FALSE}
knitr::opts_chunk$set(message = FALSE, 
                      warning = FALSE,
                      eval = FALSE, 
                      echo = TRUE)
```

# spatsoc 


[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/)
[![peer-review](https://badges.ropensci.org/237_status.svg)](https://github.com/ropensci/software-review/issues/237)
[![CRAN](https://www.r-pkg.org/badges/version/spatsoc)](https://cran.r-project.org/package=spatsoc)
[![cran checks](https://cranchecks.info/badges/summary/spatsoc)](https://cran.r-project.org/web/checks/check_results_spatsoc.html)
[![R-CMD-check](https://github.com/ropensci/spatsoc/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ropensci/spatsoc/actions/workflows/R-CMD-check.yaml)
[![Codecov test coverage](https://codecov.io/gh/ropensci/spatsoc/graph/badge.svg)](https://app.codecov.io/gh/ropensci/spatsoc)




### [News](#news) - [Installation](#installation) - [Usage](#usage) - [Contributing](#contributing)

`spatsoc` is an R package for detecting spatial and temporal groups in GPS relocations. It can be used to convert GPS relocations to gambit-of-the-group format to build proximity-based social networks with grouping and edge-list generating functions. In addition, the `randomizations` function provides data-stream randomization methods suitable for GPS data and the `get_gbi` function generates group by individual matrices useful for building networks with `asnipe::get_network`. 

See below for [installation](#installation) and basic [usage](#usage). 

For more details, see the [blog post](https://ropensci.org/blog/2018/12/04/spatsoc/) and vignettes:

* [Introduction to spatsoc](https://docs.ropensci.org/spatsoc/articles/intro.html)
* [Frequently asked questions](https://docs.ropensci.org/spatsoc/articles/faq.html)
* [Using spatsoc in social network analysis](https://docs.ropensci.org/spatsoc/articles/using-in-sna.html)
* [Using edge list and dyad id functions](https://docs.ropensci.org/spatsoc/articles/using-edge-and-dyad.html)


## News
### R-spatial evolution

`spatsoc` has been updated according to the [R-spatial evolution](https://r-spatial.org/r/2022/04/12/evolution.html), to remove
deprecated package dependencies in favour of modern spatial R packages. In 
our case, this means replacing `rgeos`, `rgdal` and `sp` with `sf`. 

Below is a list of user-side differences for `spatsoc` users: 

- spatsoc now depends on `sf`, `units` instead of `rgeos` and `sp`
- `build_lines` now returns an `sf` LINESTRING object
- `build_polys` now returns an `sf` POLYGON/MULTIPOLYGON object
- `group_lines` now accepts an input `sf` LINESTRING object (argument "sfLines") 
and internally uses `sf::st_intersects`, `sf::st_buffer`, etc instead of `rgeos` functions
- `group_polys` now accepts an input `sf` POLYGON/MULTIPOLYGON object (argument "sfPolys") 
and internally uses `sf::st_intersects`, `sf::st_area`, etc instead of `rgeos` functions. 
`group_polys` now returns area and proportion of overlap (%) when `area = TRUE` with 
respective units using the `units` package

The details of these changes are available in [PR 50](https://github.com/ropensci/spatsoc/issues/50). 

If required, the old version using retired spatial packages can be installed 
with the following but please note that in October 2023 `rgeos`, `rgdal` and 
`maptools` will no longer be available on CRAN. 

```{r old_install}
remotes::install_github('ropensci/spatsoc@v0.1.17')
```


---

We wrote a [`targets`](https://github.com/ropensci/targets) workflow, available
at
[github.com/robitalec/targets-spatsoc-networks](https://github.com/robitalec/targets-spatsoc-networks).
`targets` is an incredible package for designing workflows in R and, with it, we
can reproducibly run all steps from raw telemetry data to output networks and
metrics. Check it out and let us know how it works for you!


Edge-list generating functions added:

  * `edge_nn`
  * `edge_dist`
  
and dyad id function:

  * `dyad_id`
  
(feedback welcome as always!)

Both documented further in a vignette: [Using edge list and dyad id functions](https://docs.ropensci.org/spatsoc/articles/using-edge-and-dyad.html).


Also, our article describing `spatsoc` is published at Methods in Ecology and Evolution. [Link here](https://doi.org/10.1111/2041-210X.13215). Thanks to reviewers and editors at [rOpenSci](https://github.com/ropensci/software-review/issues/237) and at [MEE](https://besjournals.onlinelibrary.wiley.com/journal/2041210x). 


More detailed news [here](https://docs.ropensci.org/spatsoc/news/index.html).


## Installation

```{r install}
# Stable release
install.packages('spatsoc')

# Development version (choose one option)
install.packages('spatsoc', 
                 repos = c('https://robitalec.r-universe.dev',
                           'https://cloud.r-project.org'))
remotes::install_github('ropensci/spatsoc')
```

`spatsoc` depends on `sf`, see [here](https://github.com/r-spatial/sf#installing)
for help installing. 



## Usage
### Load package, import data
`spatsoc` expects a `data.table` for all of its functions. If you have a `data.frame`, you can use `data.table::setDT()` to convert it by reference. If your data is a text file (e.g.: CSV), you can use `data.table::fread()` to import it as a `data.table`. 

```{r library}
library(spatsoc)
library(data.table)
DT <- fread(system.file("extdata", "DT.csv", package = "spatsoc"))
DT[, datetime := as.POSIXct(datetime, tz = 'UTC')]
```


### Temporal grouping
`group_times` groups rows temporally using a threshold defined in units of minutes (B), hours (C) or days (D). 

Temporal grouping using a threshold defined in units of minutes (B), hours (C) or days (D)

### Spatial grouping 
`group_pts` groups points spatially using a distance matrix (B) and a spatial threshold defined by the user (50m in this case). Combined with `group_times`, the returned 'group' column represents spatiotemporal, point based groups (D). 


Spatiotemporal grouping (A) defined using a threshold on a distance matrix (B), returning a spatiotemporal group (C, D)

`group_lines` groups sequences of points (forming a line) spatially by buffering each line (A) by the user defined spatial threshold. Combined with `group_times`, the returned 'group' column represents spatiotemporal, line overlap based groups (B). 

Spatiotemporal grouping based on overlap of movement trajectories



`group_polys` groups home ranges by spatial and proportional overlap. Combined with `group_times`, the returned 'group' column represents spatiotemporal, polygon overlap based groups. 


Spatiotemporal grouping based on overlap of home ranges


### Edge-list generating functions
`edge_dist` and `edge_nn` generate edge-lists. `edge_dist` measures the spatial distance between individuals (A) and returns all pairs within the user specified distance threshold (B). `edge_nn` measures the distance between individuals (C) and returns the nearest neighbour to each individual (D). 

Edge-list generation of neighbours within a specified distance (A, B) and nearest neighbours (C, D)

### Social network analysis functions
`randomizations` for data-stream randomization and `get_gbi` for generating group by individual matrices. 




# Contributing
Please note that this project is released with a [Contributor Code of Conduct](CODE_OF_CONDUCT.md). By participating in this project you agree to abide by its terms.
  
Development of `spatsoc` welcomes contribution of feature requests, bug reports and suggested improvements through the [issue board](https://github.com/ropensci/spatsoc/issues). 

See details in [CONTRIBUTING.md](CONTRIBUTING.md). 

[![ropensci_footer](https://ropensci.org/public_images/ropensci_footer.png)](https://ropensci.org)

Owner

  • Name: rOpenSci
  • Login: ropensci
  • Kind: organization
  • Email: info@ropensci.org
  • Location: Berkeley, CA

Citation (CITATION.cff)

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GitHub Events

Total
  • Create event: 15
  • Release event: 1
  • Issues event: 8
  • Delete event: 14
  • Issue comment event: 5
  • Push event: 89
  • Pull request event: 24
Last Year
  • Create event: 15
  • Release event: 1
  • Issues event: 8
  • Delete event: 14
  • Issue comment event: 5
  • Push event: 89
  • Pull request event: 24

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 1,434
  • Total Committers: 4
  • Avg Commits per committer: 358.5
  • Development Distribution Score (DDS): 0.009
Past Year
  • Commits: 195
  • Committers: 1
  • Avg Commits per committer: 195.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Alec Robitaille r****c@g****m 1,421
qwebber w****n@g****m 9
Maëlle Salmon m****n@y****e 3
Hugo Gruson B****o 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 1
  • Total pull requests: 12
  • Average time to close issues: 1 day
  • Average time to close pull requests: about 10 hours
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 12
  • Average time to close issues: 1 day
  • Average time to close pull requests: about 10 hours
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • robitalec (11)
  • maelle (1)
Pull Request Authors
  • robitalec (27)
  • maelle (1)
Top Labels
Issue Labels
type: enhancement (7) priority: low (1) type: discussion (1) type: documentation (1)
Pull Request Labels
type: enhancement (7) type: documentation (5) status: in progress (2) type: bug (1) status: completed (1)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 400 last-month
  • Total docker downloads: 20,392
  • Total dependent packages: 1
  • Total dependent repositories: 5
  • Total versions: 11
  • Total maintainers: 1
cran.r-project.org: spatsoc

Group Animal Relocation Data by Spatial and Temporal Relationship

  • Versions: 11
  • Dependent Packages: 1
  • Dependent Repositories: 5
  • Downloads: 400 Last month
  • Docker Downloads: 20,392
Rankings
Stargazers count: 10.3%
Docker downloads count: 12.6%
Dependent repos count: 13.0%
Average: 15.5%
Forks count: 17.0%
Dependent packages count: 18.1%
Downloads: 22.1%
Maintainers (1)
Last synced: 4 months ago