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Volumn 44, Issue 1, 2002, Pages 83-99

Spatio-temporal modelling of weeds by shot-noise G Cox processes

Author keywords

Clustered point pattern; G family; Neyman Scott process, Weed modelling; Space time modelling

Indexed keywords

CLUSTERED POINT PATTERN; COX PROCESS; G-FAMILY; NEYMAN-SCOTT PROCESS, WEED MODELING; POINT PATTERNS; SPACE-TIME MODELING; SPACETIME; SPATIO-TEMPORAL; SPATIO-TEMPORAL MODELS; TIME POINTS;

EID: 0036339976     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/1521-4036(200201)44:1<83::AID-BIMJ83>3.0.CO;2-W     Document Type: Article
Times cited : (27)

References (26)
  • 12
    • 0028313573 scopus 로고
    • Geostatistics for mapping weeds, with a Canada Thistle (Cirsium arvense) patch as a case study
    • (1994) Weed Science , vol.42 , pp. 648-657
    • Donald, W.1
  • 15
    • 0001586998 scopus 로고
    • Survival models for heterogeneous populations derived from stable distributions
    • (1986) Biometrika , vol.73 , pp. 387-396
    • Hougaard, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.