Dear list members, searching the archive of the list and the web, I have difficulties to get an access to suitable methods for the following problem: I have simulations of a Monte Carlo radiative transfer model, where the path of photons is tracked inside an atmospheric volume. I stored a horizontal position for every photon either where it left a cloud in upward direction or where it was scattered on the ground. I did these simulations for a measured cloud field and for a cloud field, reconstructed with a limited set of data from the original cloud field. To analyze if there are differences in the radiative transfer between those two cloud fields, I would like to check if the point patterns of the photon locations are different. The problem might be, that every simulation consists of 10 Million photons. Surfing around I found Ripley's K function. Is this an appropriate method to calculate it for both simulations. Are there better strategies for the task ? Do you recommend some introductionary tutorials for the suggested methods ? Which is the software [ R ?] methods are implemented and which are able to handle these amount of data ?
Thanks for your help in advance ! Klemens -- Der GMX SmartSurfer hilft bis zu 70% Ihrer Onlinekosten zu sparen! Ideal für Modem und ISDN: http://www.gmx.net/de/go/smartsurfer + + To post a message to the list, send it to [email protected] + To unsubscribe, send email to majordomo@ jrc.it with no subject and "unsubscribe ai-geostats" in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list + As a general service to list users, please remember to post a summary of any useful responses to your questions. + Support to the forum can be found at http://www.ai-geostats.org/
