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https://github.com/jeffreyevans/genetit
R package for spatial graph-theoretic gravity modelling
https://github.com/jeffreyevans/genetit
cran landscape-genetics r r-package r-spatial rstats spatial statistics
Last synced: about 2 months ago
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R package for spatial graph-theoretic gravity modelling
- Host: GitHub
- URL: https://github.com/jeffreyevans/genetit
- Owner: jeffreyevans
- License: gpl-3.0
- Created: 2017-10-27T18:35:22.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-06-14T22:26:19.000Z (over 1 year ago)
- Last Synced: 2024-04-29T02:21:05.285Z (8 months ago)
- Topics: cran, landscape-genetics, r, r-package, r-spatial, rstats, spatial, statistics
- Language: R
- Homepage:
- Size: 7.84 MB
- Stars: 8
- Watchers: 3
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# GeNetIt (CRAN 0.1-6, development 0.1-7)
[![CRAN
status](http://www.r-pkg.org/badges/version/GeNetIt)](https://cran.r-project.org/package=GeNetIt)
[![CRAN RStudio mirror
downloads](http://cranlogs.r-pkg.org/badges/grand-total/GeNetIt)](https://cran.r-project.org/package=GeNetIt)GeNetIt is an R package for spatial graph-theoretic gravity modeling. The model framework is applicable for
other types of matrix-based spatial flow (from-to) problems. Includes functions for constructing spatial graphs,
sampling, summarizing associated raster variables and building unconstrained and singly constrained
gravity models following Murphy et al., (2010).As of version 0.1-6 all support of raster (RasterLayer, RasterStack) and sp (SpatialPointsDataFrame) class objects
has ended, replaced by terra (SpatRaster) and sf (sf POINT) classes.You can access a [full tutorial here](https://spatialr.s3.us-west-2.amazonaws.com/Gravity/GravityModel.html)
# Available functions in GeNetIt 0.1-6 are:
| `GeNetIt` Function | Description |
|:-----------------------------|:----------------------------------------------------------------------------------------|
| `adj.matrix` | Creates binary adjacency matrix of from-to (joins) structure of graph
| `build.node.data` | Build node data
| `compare.models` | Compare competing hypothesis (models)
| `dmatrix.df` | Distance matrix to data.frame
| `dps` | dps genetic distance matrix for Columbia spotted frog (Rana luteiventris)
| `flow` | Convert distance matrix to flow (1-d)
| `graph.metrics` | Calculates a suite of metrics on the structure of the graph
| `graph.statistics` | Raster statistics for edges (lines) with buffer argument for multi-scale assessment
| `gravity.es` | Effect size for a gravity model
| `gravity` | Gravity model
| `knn.graph` | K Nearest Neighbor or saturated Graph
| `node.statistics` | Raster statistics for nodes (points)
| `plot.gravity` | plot generic for a gravity model object
| `predict.gravity` | predict generic gravity model
| `print.gravity` | print generic gravity model
| `ralu.model` | Columbia spotted frog (Rana luteiventris) data for specifying gravity model. Note, the data.frame is already log transformed.
| `ralu.site` | Subset of site-level spatial point data for Columbia spotted frog (Rana luteiventris)
| `rasters` | Subset of raster data for Columbia spotted frog (Rana luteiventris)
| `summary.gravity` | summary generic for gravity model objects
| `area.graph.statistics` | Depreciated, please use graph.statistics with buffer argument
**Bugs**: Users are encouraged to report bugs here. Go to [issues](https://github.com/jeffreyevans/GeNetIt/issues) in the menu above, and press new issue to start a new bug report, documentation correction or feature request. You can direct questions to .**To install `GeNetIt` in R use install.packages() to download curent stable release from CRAN**
**or, for the development version, run the following (requires the remotes package):**
`remotes::install_github("jeffreyevans/GeNetIt")`