Predicting the intensity of partially observed data from a revisited   kriging for point processes
  We consider a stationary and isotropic spatial point process, whose a realisation is observed within a large window. In order to predict its local intensity, we propose to define the first- and second-order characteristics of a random field, defined as the regularized counting process, from the ones of the point process and to interpolate the intensity by using a revisited kriging of the regularized process. 
Edith Gabriel and Florent Bonneu and Pascal Monestiez and Joel   Chadoeuf
stat.ME