What is 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.
spatstat has been split into a family of packages
Originally there was a single package called
It grew so large that CRAN required us to split it into pieces.
spatstat has now been divided into a family of sub-packages:
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.
You can install and load the new
spatstat family in virtually the
same way as you would previously have installed and loaded the old
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.
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|
||Local (geographically weighted) models|
||Not yet published||Spherical data|
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 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