ABSTRACT
Spatial point patterns are countable sets of points that arise as realizations of stochastic spatial point processes taking values in a planar region A⊂R2. Spatial point patterns arise in many domains. Examples include locations of individuals with a certain disease in a city, species in a region, and cells in a tissue. The spatstat package can be used to work with spatial point patterns. The package includes a number of functions that allow people to conduct spatial analysis, such as assessing the randomness of spatial point patterns, and to formulate and fit models to point pattern data. The spatstat package contains a number of examples of spatial point patterns. This chapter describes some of the data included in spatstat, and provides an overview of all the data included in the package. The japanese pines data from spatstat represents locations of 65 saplings of Japanese pine in a 5.7 × 5.7 square meter sampling region in a natural stand.
