Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/8673
Title: | Area-to-point prediction under boundary conditions | Authors: | Yoo, Eun-Hye Kyriakidis, Phaedon |
Major Field of Science: | Engineering and Technology | Field Category: | Environmental Engineering | Keywords: | Geostatistical solution;Boundary effects;Downscaling;Dirichlet-type condition;Neumann-type condition | Issue Date: | Oct-2008 | Source: | Geographical Analysis, 2008, vol. 40, iss. 4, pp. 355–379 | Volume: | 40 | Issue: | 4 | Start page: | 355 | End page: | 379 | Journal: | Geographical Analysis | Abstract: | This article proposes a geostatistical solution for area-to-point spatial prediction(downscaling) taking into account boundary effects. Such effects are often poorly con-sidered in downscaling, even though they often have significant impact on the results.The geostatistical approach proposed in this article considers two types of boundaryconditions (BC), that is, a Dirichlet-type condition and a Neumann-type condition,while satisfying several critical issues in downscaling: the coherence of predictions,the explicit consideration of support differences, and the assessment of uncertaintyregarding the point predictions. An updating algorithm is used to reduce the compu-tational cost of area-to-point prediction under a given BC. In a case study, area-to-point prediction under a Dirichlet-type BC and a Neumann-type BC is illustratedusing simulated data, and the resulting predictions and error variances are comparedwith those obtained without considering such conditions. | URI: | https://hdl.handle.net/20.500.14279/8673 | ISSN: | 15384632 | DOI: | 10.1111/j.0016-7363.2008.00734.x | Rights: | © The Ohio State University | Type: | Article | Affiliation : | University at Buffalo University of California |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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