Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/spatstat/spatstat
Umbrella package of the 'spatstat' family................
https://github.com/spatstat/spatstat
cluster-process cox-point-process gibbs-process kernel-density network-analysis point-process poisson-process r spatial-analysis spatial-data spatial-data-analysis spatial-statistics spatstat statistical-methods statistical-models statistical-tests statistics
Last synced: 3 months ago
JSON representation
Umbrella package of the 'spatstat' family................
- Host: GitHub
- URL: https://github.com/spatstat/spatstat
- Owner: spatstat
- Created: 2014-08-11T13:28:43.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2024-07-25T07:25:43.000Z (4 months ago)
- Last Synced: 2024-07-26T02:53:03.277Z (4 months ago)
- Topics: cluster-process, cox-point-process, gibbs-process, kernel-density, network-analysis, point-process, poisson-process, r, spatial-analysis, spatial-data, spatial-data-analysis, spatial-statistics, spatstat, statistical-methods, statistical-models, statistical-tests, statistics
- Language: R
- Homepage:
- Size: 47.8 MB
- Stars: 189
- Watchers: 24
- Forks: 44
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: ChangeLogs/ChangeLog1.53-1.txt
Awesome Lists containing this project
README
spatstat
========`spatstat` is a family of R packages for analysing
spatial point pattern data (and other kinds of spatial data).
It has extensive capabilities for exploratory analysis,
statistical modelling, simulation and statistical inference.See the website [www.spatstat.org](http://www.spatstat.org)
or read the [book](http://book.spatstat.org).## spatstat has been split into a family of packages
Originally there was a single package called `spatstat`.
It grew so large that CRAN required us to split it into pieces.The original `spatstat` has now been divided into a family of 10 sub-packages:
| Sub-package | CRAN page | GitHub repository | Description |
| ---------- | --------- | ----------------- | ---------- |
| `spatstat.utils` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.utils)](http://CRAN.R-project.org/package=spatstat.utils) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.utils)](https://github.com/spatstat/spatstat.utils) | Basic utilities |
| `spatstat.data` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.data)](http://CRAN.R-project.org/package=spatstat.data) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.data)](https://github.com/spatstat/spatstat.data) | Datasets |
| `spatstat.sparse` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.sparse)](http://CRAN.R-project.org/package=spatstat.sparse) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.sparse)](https://github.com/spatstat/spatstat.sparse) | Sparse arrays |
| `spatstat.univar` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.univar)](http://CRAN.R-project.org/package=spatstat.univar) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.univar)](https://github.com/spatstat/spatstat.univar) | :new: Univariate probability distributions :kangaroo: |
| `spatstat.geom` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.geom)](http://CRAN.R-project.org/package=spatstat.geom) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.geom)](https://github.com/spatstat/spatstat.geom) | Spatial data classes; geometrical operations |
| `spatstat.random` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.random)](http://CRAN.R-project.org/package=spatstat.random) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.random)](https://github.com/spatstat/spatstat.random) | Generation of random patterns |
| `spatstat.explore` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.explore)](http://CRAN.R-project.org/package=spatstat.explore) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.explore)](https://github.com/spatstat/spatstat.explore) | Exploratory Data Analysis of spatial data |
| `spatstat.model` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.model)](http://CRAN.R-project.org/package=spatstat.model) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.model)](https://github.com/spatstat/spatstat.model) | Parametric modelling and formal inference for spatial data |
| `spatstat.linnet` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.linnet)](http://CRAN.R-project.org/package=spatstat.linnet) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.linnet)](https://github.com/spatstat/spatstat.linnet) | Spatial analysis on a linear network |
| `spatstat` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat)](http://CRAN.R-project.org/package=spatstat) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat)](https://github.com/spatstat/spatstat) | Umbrella package: intro, vignettes |Click the green badge to visit the CRAN page which contains the current
release of each sub-package. Click the blue badge to visit the GitHub repository
for the current development version of the sub-package.There still exists a package called `spatstat`, which is now an
**umbrella package** that requires all the sub-packages listed above,
and provides introductory guides and vignettes.You can install and load the new `spatstat` family in virtually the
same way as you would previously have installed and loaded the old `spatstat` package.
When you install the new umbrella package `spatstat`, all the sub-packages listed above will
be installed. When you load the new umbrella `spatstat` package in an R session,
all the sub-packages listed above will be loaded or imported.## Extension packages
Additionally there are **extension packages** which contain more
functionality. These packages are not automatically installed or loaded;
the user must do that if these extra features are desired.| Extension package | CRAN page | GitHub repository | Description |
| ---------------- | --------- | ----------------- | ---------- |
| `spatstat.gui` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.gui)](http://CRAN.R-project.org/package=spatstat.gui) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.gui)](https://github.com/spatstat/spatstat.gui) | Graphical interface |
| `spatstat.Knet` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.Knet)](http://CRAN.R-project.org/package=spatstat.Knet) | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.Knet)](https://github.com/spatstat/spatstat.Knet) | linear networks |
| `spatstat.local` | [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/spatstat.local)](http://CRAN.R-project.org/package=spatstat.local) | [![GitHub R package version](https://img.shields.io/github/r-package/v/baddstats/spatstat.local)](https://github.com/baddstats/spatstat.local) | Local (geographically weighted) models |
| `spatstat.sphere` | Not yet published | [![GitHub R package version](https://img.shields.io/github/r-package/v/spatstat/spatstat.sphere)](https://github.com/spatstat/spatstat.sphere) | Spherical data |## Family portrait
The pink box marked `spatstat` contains all the code that will be
installed when you install the `spatstat` umbrella package, and loaded
or imported when you load the `spatstat` umbrella package.The blue boxes are extension packages which must be installed and loaded
separately.![Spatstat pieces](RepoStuff/new4spatstat.jpg)
## Future development
`spatstat` is the result of 30 years of software development
and contains over 180,000 lines of code.
It is still under
development, motivated by the needs of researchers in many fields,
and driven by innovations in statistical science.
We welcome contributions of code, and suggestions
for improvements.