Investigation of organized hydrological heterogeneity from a spatial analysis perspective

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spatial analysis as a framework for exploring spatial patterns is well known in social-geography, econometrics and other fields, but has seldom been applied in catchment hydrology. This paper presents a new method for the investigation of the spatial patterns of hydrological variables from a spatial analysis perspective. Using the topographic index (TI) as an example, the preliminary yet promising results obtained from this analysis suggest that the Global Moran's I index constructed from an asymmetric inverse flow distance weight matrix is an effective bulk signature of hydrological spatial structure, and the Local Indicator of Spatial Association (LISA) captures well the transition from hydrological heterogeneity to hydrological homogeneity with increasing spatial scale. These results suggest that complementary to existing statistical methods, spatial analysis could be a promising framework for quantifying and modelling spatial patterns exhibited by hydrological variables.

Original languageEnglish (US)
Title of host publicationHydrological Research in China
Subtitle of host publicationProcess Studies, Modelling Approaches and Applications
Pages73-79
Number of pages7
Edition322
StatePublished - Dec 1 2008
EventProceedings of the Chinese Prediction in Ungauged Basins(PUB)International Symposium 2006 - Beijing, China
Duration: Sep 1 2008Sep 1 2008

Publication series

NameIAHS-AISH Publication
Number322
ISSN (Print)0144-7815

Other

OtherProceedings of the Chinese Prediction in Ungauged Basins(PUB)International Symposium 2006
CountryChina
CityBeijing
Period9/1/089/1/08

Keywords

  • Asymmetric inverse flow distance weight matrix
  • Global Moran's I
  • LISA
  • Spatial analysis
  • TI

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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