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Spatial Information Research

, Volume 27, Issue 1, pp 11–21 | Cite as

Assessment of geostatistical methods for spatiotemporal analysis of drought patterns in East Texas, USA

  • Mukti Ram SubediEmail author
  • Weimin XiEmail author
  • Christopher B. Edgar
  • Sandra Rideout-Hanzak
  • Brent C. Hedquist
Article
  • 40 Downloads

Abstract

Drought is one of the most complex and least understood climate-related natural hazards. Active drought mitigation and contingency plan formulation often require a reliable drought distribution map. This study analyzed different spatial interpolation techniques to produce drought distribution map in East Texas, USA. Deterministic [inverse distance weighting (IDW) and spline], and geostatistical [ordinary kriging (Gaussian (KG) and spherical (KS))] interpolation techniques were employed as candidate methods for evaluation. Thirty-four years (1980–2013) of weather station data (N = 47) were used to calculate a 12-month Standardized Precipitation Evaporation Index (SPEI). The dataset was randomly divided into test data (70%, N = 33) and validation data (30%, N = 14). The resulting SPEI maps were cross-checked and validated through a validation dataset by calculating error matrices. The results indicate that KG tends to perform well in relatively drier conditions while IDW shows mixed results, performing well both in dry and wet conditions. The overall power of the four techniques to map 12-month drought conditions resulted in the order of IDW > KG > KS > spline.

Keywords

Drought Interpolation Inverse distance weighting Kriging SPEI Spline Validation 

Notes

Acknowledgements

We would like to thank the NOAA Climate Data Online (CDO) program for providing data for this research. Sincere gratitude is also expressed to the Department of Physics and Geosciences, Texas A&M University-Kingsville, for providing access to the Geospatial Research Laboratory. Dr. W. Xi financially supported this work through his University Research Award, STEP-HG Faculty Research Award, and Research Startup Funds from Texas A&M University-Kingsville.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

41324_2018_216_MOESM1_ESM.docx (470 kb)
Supplementary material 1 (DOCX 469 kb)

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Copyright information

© Korean Spatial Information Society 2018

Authors and Affiliations

  • Mukti Ram Subedi
    • 1
    Email author
  • Weimin Xi
    • 1
    Email author
  • Christopher B. Edgar
    • 2
  • Sandra Rideout-Hanzak
    • 3
  • Brent C. Hedquist
    • 4
  1. 1.Department of Biological and Health SciencesTexas A&M University-KingsvilleKingsvilleUSA
  2. 2.Department of Forest ResourcesUniversity of MinnesotaSt. PaulUSA
  3. 3.Department of Animal, Rangeland, and Wildlife Sciences, Caesar Kleberg Wildlife Research InstituteTexas A&M University-KingsvilleKingsvilleUSA
  4. 4.Department of Physics and GeosciencesTexas A&M University-KingsvilleKingsvilleUSA

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