Skip to main content

Scale effects in uncertainty modeling of presettlement vegetation distribution

Buy Article:

$60.90 plus tax (Refund Policy)


This article proposes a geostatistical interpolation method, namely, block indicator kriging, as a means to model uncertainty-quantified presettlement vegetation surfaces. We demonstrate its potential in landscape ecology for improving the quality of the resulting surfaces using indicator-coded presettlement land survey record data and the areal proportion of each species. The geostatistical interpolation method presented in this study explicitly models support differences between the source data and the prediction surface, while taking into account spatial dependence present in multiscale presettlement land survey record data. In this case study, we demonstrate that block indicator kriging with areal proportion data substantially increases the prediction accuracy and coherence using witness tree species data recorded in the northeast of Minnesota. The relative merit of the proposed geostatistical interpolation method to other conventional geostatistical approaches is illustrated through a comparative analysis, where continuous vegetation surfaces obtained from other approaches are compared with those obtained from the block indicator kriging with areal proportion data in terms of the prediction accuracy and consistency.

Keywords: block indicator kriging; presettlement land survey records; spatial dependence; support differences

Document Type: Research Article


Affiliations: Department of Geography, University at Buffalo, Buffalo, NY, USA

Publication date: March 1, 2011

More about this publication?

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more