spatsoc
:package: spatsoc is an R package for detecting spatial and temporal groups in GPS relocations.
Science Score: 67.0%
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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
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Repository
:package: spatsoc is an R package for detecting spatial and temporal groups in GPS relocations.
Basic Info
- Host: GitHub
- Owner: ropensci
- License: gpl-3.0
- Language: R
- Default Branch: main
- Homepage: https://docs.ropensci.org/spatsoc
- Size: 5.51 MB
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
[](https://www.repostatus.org/)
[](https://github.com/ropensci/software-review/issues/237)
[](https://cran.r-project.org/package=spatsoc)
[](https://cran.r-project.org/web/checks/check_results_spatsoc.html)
[](https://github.com/ropensci/spatsoc/actions/workflows/R-CMD-check.yaml)
[](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).
### 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).
`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).
`group_polys` groups home ranges by spatial and proportional overlap. Combined with `group_times`, the returned 'group' column represents spatiotemporal, polygon overlap based groups.
### 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).
### 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).
[](https://ropensci.org)
Owner
- Name: rOpenSci
- Login: ropensci
- Kind: organization
- Email: info@ropensci.org
- Location: Berkeley, CA
- Website: https://ropensci.org/
- Twitter: rOpenSci
- Repositories: 307
- Profile: https://github.com/ropensci
Citation (CITATION.cff)
# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
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type: software
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title: 'spatsoc: Group Animal Relocation Data by Spatial and Temporal Relationship'
version: 0.2.10
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value: 10.32614/CRAN.package.spatsoc
abstract: Detects spatial and temporal groups in GPS relocations (Robitaille et al.
(2019) <https://doi.org/10.1111/2041-210X.13215>). It can be used to convert GPS
relocations to gambit-of-the-group format to build proximity-based social networks
In addition, the randomizations function provides data-stream randomization methods
suitable for GPS data.
authors:
- family-names: Robitaille
given-names: Alec L.
email: robit.alec@gmail.com
orcid: https://orcid.org/0000-0002-4706-1762
- family-names: Webber
given-names: Quinn
orcid: https://orcid.org/0000-0002-0434-9360
- family-names: Vander Wal
given-names: Eric
orcid: https://orcid.org/0000-0002-8534-4317
preferred-citation:
type: article
title: 'Conducting social network analysis with animal telemetry data: applications
and methods using spatsoc'
authors:
- family-names: Robitaille
given-names: Alec L
- family-names: Webber
given-names: Quinn MR
- family-names: Wal
given-names: Eric Vander
journal: Methods in Ecology and Evolution
year: '2019'
url: https://doi.org/10.1111/2041-210X.13215
repository: https://CRAN.R-project.org/package=spatsoc
repository-code: https://github.com/ropensci/spatsoc
url: https://docs.ropensci.org/spatsoc/
contact:
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given-names: Alec L.
email: robit.alec@gmail.com
orcid: https://orcid.org/0000-0002-4706-1762
keywords:
- animal
- gps
- network
- r
- r-package
- rstats
- social
- spatial
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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
Top Committers
| Name | 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
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- 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
- Homepage: https://docs.ropensci.org/spatsoc/
- Documentation: http://cran.r-project.org/web/packages/spatsoc/spatsoc.pdf
- License: GPL-3 | file LICENSE
-
Latest release: 0.2.2
published over 2 years ago
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