[R-sig-Geo] Simulating or bootstrapping of Spatial Data

[LAMSAL, SANJAY [AG/1005]]

I have a spatial data of soil bacteria concentration and have its semivariogram model. I wanted to simulate spatial scenarios of bacterial concentration in other fields. I could see this as either bootstrapping the bacteria data on spatial grids placed over other fields such that the generated data is spatially autocorrelated (honors the semivariogram model).

In my case, we want to develop spatial patterns of bacterium across several fields, where spatial pattern differ among fields but all patterns honor the same semivariogram model. Can anyone suggest an approach to accomplish this? I see this as being different from sequential simulation using gstat object (package gstat) where the simulated maps are realizations of original scenario.

Thanks

Sanjay



This email and any attachments were sent from a Monsanto email account and may contain confidential and/or privileged information. If you are not the intended recipient, please contact the sender and delete this email and any attachments immediately. Any unauthorized use, including disclosing, printing, storing, copying or distributing this email, is prohibited. All emails and attachments sent to or from Monsanto email accounts may be subject to monitoring, reading, and archiving by Monsanto, including its affiliates and subsidiaries, as permitted by applicable law. Thank you.

	[[alternative HTML version deleted]]