You are viewing the GitHub repository which holds the latest development version of spatstat.geom. For the latest public release on CRAN, click the green badge above.

Contents:

• Overview of spatstat.geom
• Detailed contents of package
• Installing the package
• Bug reports, questions, code development

The original spatstat package has been split into several sub-packages, listed on the GitHub repository spatstat/spatstat.

This package spatstat.geom is one of the sub-packages. It defines classes of spatial objects, and supports geometrical operations on them. It provides

• classes of spatial objects
• basic support for spatial objects
• graphics
• interaction with spatial objects
• geometrical operations
• morphological operations
• image processing

For a full list of functions, see the help file for spatstat.geom-package.

• point patterns (ppp)
• spatial regions or windows (owin)
• pixel images (im)
• line segment patterns (psp)
• tessellations (tess)
• linear networks (linnet)

• 3D point patterns (pp3)
• general multidimensional space-time point patterns (ppx)

• printing spatial objects
• basic summary information about spatial objects
• subsetting, splitting, superimposing spatial patterns
• extracting information such as spatial coordinates
• pixellation
• discretisation of coordinates
• interpolation of images
• solution set, level set
• identifying duplicated elements

• plotting spatial patterns
• plotting images (depicted as colour images, contour plots, perspective views, composite images)
• graphical information (layered objects, colour maps, symbol maps)

• interactive data entry and editing for spatial objects
• identify methods for identifying individual elements
• simple interactive panels (simplepanel)

• geometrical transformations (rotate, scalardilation, shift, reflect, flipxy, affine)
• set operations (intersect.owin, union.owin, complement.owin, setminus.owin)
• test whether a point falls inside a set
• convex hull
• geometrical mensuration (measuring areas, lengths, angles, diameter)

• nearest neighbour distance (nndist)
• find the nearest neighbour (nnwhich)
• pairwise distances (pairdist)
• nearest neighbour from one pattern to another (nncross)
• pairwise distances between one pattern and another (crossdist)
• distance transform (distmap, distfun)
• non-Euclidean distance (convexmetric)

• creating tessellations (tess, hextess, quadrats, venn.tess, polartess, dirichlet, delaunay, quantess)
• triangulation
• discretisation
• bounding box

• erosion, dilation
• opening, closing
• morphological distance transform

• pixel-by-pixel computation (Math.im, eval.im, im.apply)
• set covariance function (setcov)
• convolution of images (imcov)

Summary statistics are mostly provided in the spatstat.explore package. However, spatstat.geom provides functions for calculating

• average intensity of a point pattern (intensity)
• quadrat counts (quadratcount)

Functions for generating random spatial patterns are mostly provided in the spatstat.random package. However, spatstat.geom provides basic functions for generating

• random points in a rectangle (runifrect)
• quasirandom points (rQuasi)

This repository contains the development version of spatstat.geom. The easiest way to install the development version is to start R and type

repo <- c('https://spatstat.r-universe.dev', 'https://cloud.r-project.org')
install.packages("spatstat.geom", dependencies=TRUE, repos=repo)

To install the latest public release of spatstat.geom, type

install.packages("spatstat.geom")

Users are encouraged to report bugs. If you find a bug in a spatstat function, please identify the sub-package containing that function. Visit the GitHub repository for the sub-package, click the Issues tab at the top of the page, and press new issue to start a new bug report, documentation correction or feature request.

Please do not post questions on the Issues pages, because they are too clunky for correspondence.

For questions about the spatstat package family, first check the question-and-answer website stackoverflow to see whether your question has already been asked and answered. If not, you can either post your question at stackoverflow, or email the authors.

Feel free to fork spatstat.geom, make changes to the code, and ask us to include them in the package by making a github pull request.

The spatstat package family is the result of 30 years of software development and contains over 200,000 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.