An information-fusion method to identify pattern of spatial heterogeneity for improving the accuracy of estimation

DOI10.1007/S00477-007-0179-1zbMath1409.62188OpenAlexW2065018371MaRDI QIDQ1731529

Lianfa Li, Ershun Zhong, Zhidong Cao, Jin-Feng Wang

Publication date: 13 March 2019

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-007-0179-1

zbMATH Keywords

surveystratificationinformation fusionvalidation assessment

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Sampling theory, sample surveys (62D05)

Related Items (1)

Characterising forest spatial structure through inhomogeneous second order characteristics

Uses Software

• spatial
• ArcGIS Desktop
• CLIPS
• SpaceStat

Cites Work

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