data(gorillas)gorillas is a marked point pattern (object
  of class "ppp") representing nest site locations.  gorillas.extra is a named list of 7 pixel images (objects of
  class "im") containing spatial covariates.
  It also belongs to the class "listof".
  All spatial coordinates are in metres.
  The coordinate reference system is WGS_84_UTM_Zone_32N.
Data kindly provided by Funwi-Gabga Neba, Data Coordinator of A.P.E.S. Database Project, Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
The collaboration of Prof Jorge Mateu, Universitat Jaume I, Castellon, Spain is gratefully acknowledged.
  The dataset gorillas is a marked point pattern
  (object of class "ppp")
  giving the spatial locations of 647 nesting sites of gorilla groups
  observed in the sanctuary over time.
  Locations are given as UTM (Zone 32N) coordinates in metres.
  The observation window is the boundary of the sanctuary, represented
  as a polygon. Marks attached to the points are:
  
  [object Object],[object Object],[object Object]
  Note that the data contain duplicated points (two points at the
  same location). To determine which points are duplicates,
  use duplicated.ppp.
  To remove the duplication, use unique.ppp.
  The accompanying dataset gorillas.extra contains
  spatial covariate information. It is a named list containing
  seven pixel images (objects of class "im") giving the values of
  seven covariates over the study region. It also belongs
  to the class "listof" so that it can be plotted.
  The component images are:
  
  [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
For further information see Funwi-Gabga and Mateu (2012).
Funwi-Gabga, N. and Mateu, J. (2012) Understanding the nesting spatial behaviour of gorillas in the Kagwene Sanctuary, Cameroon. Stochastic Environmental Research and Risk Assessment, in press.
summary(gorillas)
  plot(gorillas)
  plot(gorillas.extra)Run the code above in your browser using DataLab