Difference: Papers20100623115744 (1 vs. 3)

Revision 32010-08-13 - TheresiaFreska

 
META TOPICPARENT name="AI_GEOSTATSPapers"
Title: Automated Mapping using Multilevel B-Splines
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Date: 1 July 2005
  Authors: Anatoly A Saveliev, Andrey V Romanov, Svetlana S Mukharamova
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Link: http://publications.epress.monash.edu/doi/pdf/10.2104/ag050017
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Link: http://publications.epress.monash.edu/doi/pdf/10.2104/ag050017
  Abstract:

This paper describes application of multilevel B-Splines approximation (MBA) algorithm to the SIC2004 exercise as a high performance automatic mapping means in emergency situations. MBA method was compared with kriging, and various flexible MBA method's tuning "controls" were proposed and discussed. Outliers automatic detection and delineation techniques considered could be used to process outliers without the loss in performance. Prior data were used to adjust method parameters and discover the pattern of spatial correlation. The interpolation algorithm development did not assume any information about the phenomena in addition to values given.

Reference

Applied GIS
Volume 1, No. 2, August 2005
DOI: 10.2104/ag050017

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-- TWikiAdminUser - 2010-06-16

Revision 22010-07-23 - TWikiAdminUser

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META TOPICPARENT name="GeostatisticsPapers"
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META TOPICPARENT name="AI_GEOSTATSPapers"
 Title: Automated Mapping using Multilevel B-Splines

Date:

Authors: Anatoly A Saveliev, Andrey V Romanov, Svetlana S Mukharamova

Link: http://publications.epress.monash.edu/doi/pdf/10.2104/ag050017

Abstract:

This paper describes application of multilevel B-Splines approximation (MBA) algorithm to the SIC2004 exercise as a high performance automatic mapping means in emergency situations. MBA method was compared with kriging, and various flexible MBA method's tuning "controls" were proposed and discussed. Outliers automatic detection and delineation techniques considered could be used to process outliers without the loss in performance. Prior data were used to adjust method parameters and discover the pattern of spatial correlation. The interpolation algorithm development did not assume any information about the phenomena in addition to values given.

Reference

Applied GIS
Volume 1, No. 2, August 2005
DOI: 10.2104/ag050017

-- TWikiAdminUser - 2010-06-16

Revision 12010-06-23 - TWikiAdminUser

 
META TOPICPARENT name="GeostatisticsPapers"
Title: Automated Mapping using Multilevel B-Splines

Date:

Authors: Anatoly A Saveliev, Andrey V Romanov, Svetlana S Mukharamova

Link: http://publications.epress.monash.edu/doi/pdf/10.2104/ag050017

Abstract:

This paper describes application of multilevel B-Splines approximation (MBA) algorithm to the SIC2004 exercise as a high performance automatic mapping means in emergency situations. MBA method was compared with kriging, and various flexible MBA method's tuning "controls" were proposed and discussed. Outliers automatic detection and delineation techniques considered could be used to process outliers without the loss in performance. Prior data were used to adjust method parameters and discover the pattern of spatial correlation. The interpolation algorithm development did not assume any information about the phenomena in addition to values given.

Reference

Applied GIS
Volume 1, No. 2, August 2005
DOI: 10.2104/ag050017

-- TWikiAdminUser - 2010-06-16

 
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