Hello I have a data-set which consists of a series of sediment cores irregularly distributed in space. Each core as been sampled along its length, and has an age scale from radiocarbon dates. The samples taken from along the cores are irregularly distributed in time, as sedimentation varies from one core to the next. I would like to use this data to make a series of predictions at non-sampled locations, on a regular time series. My question is: can kriging be used to do this? I am aware that kriging in three dimensions is possible, but I am worried that the difference in scales between locational coordinates and temporal coordinates may be a problem. Has anybody some experience with this type of approach? I would be grateful for suggestions, references, www links, etc. I would also be grateful if anyone could point me to some source code, if necessary. Thanks in advance Simon -- ------------------------------------------------------ Simon Brewer European Pollen Database Place de la Republique tel: 00 33 (0)4 90 96 18 18 13200 Arles fax: 00 33 (0)4 90 93 98 03 France email: [EMAIL PROTECTED] ------------------------------------------------------ -- * To post a message to the list, send it to [EMAIL PROTECTED] * As a general service to the users, please remember to post a summary of any useful responses to your questions. * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list * Support to the list is provided at http://www.ai-geostats.org
