publication . Article . 2006

spatial analysis based on variance of moving window averages

Wu, B M; Subbarao, K V; Ferrandino, F J; Hao, J J;
Open Access
  • Published: 01 Jun 2006 Journal: Journal of Phytopathology, volume 154, pages 349-360 (issn: 0931-1785, eissn: 1439-0434, Copyright policy)
  • Publisher: Wiley
  • Country: United States
Abstract
A new method for analysing spatial patterns was designed based on the variance of moving window averages (VMWA), which can be directly calculated in geographical information systems or a spreadsheet program (e.g. MS Excel). Different types of artificial data were generated to test the method. Regardless of data types, the VMWA method correctly determined the mean cluster sizes. This method was also employed to assess spatial patterns in historical plant disease survey data encompassing both airborne and soilborne diseases. The results obtained using the VMWA method were generally different from those obtained with Lloyd's index of patchiness and beta-binomial di...
Subjects
free text keywords: aggregation index, Agronomy and Crop Science, Plant Science, Genetics, Physiology, Statistics, Biology, Agr├ęgation, Data type, Spatial Dependency, Variogram, Spatial ecology, Botany, Spatial analysis, Binomial
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publication . Article . 2006

spatial analysis based on variance of moving window averages

Wu, B M; Subbarao, K V; Ferrandino, F J; Hao, J J;