Statistical evaluation of spatial interpolation methods for small-sampled region: A case study of temperature change phenomenon in Bangladesh

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10 Citations (Scopus)

Abstract

This study compares three interpolation methods to create continuous surfaces that describe temperature trends in Bangladesh between years 1948 and 2007. The reviewed techniques include Spline, Inverse Distance Weighting (IDW) and Kriging. A statistical assessment based on univariate statistics of the resulting continuous surfaces indicates that there is little difference in the predictive power of these techniques making hard the decision of selecting the best interpolation method. A Willmott statistical evaluation has been applied to minimize this uncertainty. Results show that IDW performs better for average and minimum temperature trends and Ordinary Kriging for maximum temperature trends. Results further indicate that temperature has an increasing trend all over Bangladesh noticably in the northern and coastal southern parts of the country. The temperature follows an overall increasing trend of 1.06o C per 100 years.

Original languageEnglish
Title of host publicationComputational Science and Its Applications, ICCSA 2011 - International Conference, Proceedings
Pages44-59
Number of pages16
EditionPART 1
DOIs
Publication statusPublished - 19 Jul 2011
Event2011 International Conference on Computational Science and Its Applications, ICCSA 2011 - Santander, Spain
Duration: 20 Jun 201123 Jun 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6782 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2011 International Conference on Computational Science and Its Applications, ICCSA 2011
CountrySpain
CitySantander
Period20/06/1123/06/11

Keywords

  • Inverse Distance Weighting
  • Ordinary Kriging
  • Spatial Interpolation
  • Spline
  • Univariate Statistics
  • Willmott Statistics

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  • Cite this

    Bhowmik, A. K., & Cabral, P. (2011). Statistical evaluation of spatial interpolation methods for small-sampled region: A case study of temperature change phenomenon in Bangladesh. In Computational Science and Its Applications, ICCSA 2011 - International Conference, Proceedings (PART 1 ed., pp. 44-59). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6782 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-21928-3_4