Incorporating spatial autocorrelation into cellular automata model: An application to the dynamics of Chinese tamarisk (Tamarix chinensis Lour.)
- Author
- DAQIAN WU1 ; JIAN LIU1 2 ; GAOSHENG ZHANG1 ; WENJUAN DING1 ; WEI WANG1 ; RENQING WANG1 2
[1] Institute of Ecology and Biodiversity, College of Life Sciences, Shandong University, Ji'nan 250100, Shandong, China
[2] Institute of Environment Research, Shandong University, Ji'nan 250100, China - Conference title
- Selected papers on Spatially Explicit Landscape Modelling: Current practices and challenges
- Conference name
- International Symposium on Spatial landscape modelling: from dynamic approaches to functional evaluations (Toulouse 2008-06)
- Source
Ecological modelling. 2009, Vol 220, Num 24, pp 3490-3498, 9 p ; ref : 3/4 p
- CODEN
- ECMODT
- ISSN
- 0304-3800
- Scientific domain
- Ecology; Environment
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Conference Paper
- Language
- English
- Author keyword
- Autocovariate Autologistic Cellular automata Ordinary logistic Spatial autocorrelation Tamarix chinensis Lour
- Keyword (fr)
- Autocorrélation Automate cellulaire Dynamique Modèle Tamarix Angiospermae Dicotyledones Plante ligneuse Spermatophyta Tamaricaceae
- Keyword (en)
- Autocorrelation Cellular automaton Dynamics Models Tamarix Angiospermae Dicotyledones Woody plant Spermatophyta Tamaricaceae
- Keyword (es)
- Autocorrelación Autómata celular Dinámica Modelo Tamarix Angiospermae Dicotyledones Planta leñosa Spermatophyta Tamaricaceae
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A02 Methods and techniques (sampling, tagging, trapping, modelling...)
- Discipline
- Animal, vegetal and microbial ecology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 22310533
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.ecolmodel.2009.03.008 
https://dx.doi.org/10.1016/j.ecolmodel.2009.03.008
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