Detecting systemic change in a land use system by Bayesian data assimilation

Environmental Modelling and Software

Volumn 75, Issue , 2016, Pages 424-438

  Verstegen, Judith A ^a   Karssenberg, Derek ^b   van der Hilst, Floor ^a   Faaij, André P C ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

Author keywords

Data assimilation; Land use change; Particle filter; Simulation; Spatial modelling; Stationarity; Systemic change

Indexed keywords

MONTE CARLO METHODS; STRUCTURAL OPTIMIZATION; SUGAR CANE;

DATA ASSIMILATION; LAND-USE CHANGE; PARTICLE FILTER; SIMULATION; SPATIAL MODELLING; STATIONARITY; SYSTEMIC CHANGE;

LAND USE;

BAYESIAN ANALYSIS; DATA ASSIMILATION; ENVIRONMENTAL MODELING; FUTURE PROSPECT; INVENTORY; LAND USE CHANGE; METHODOLOGY; MONTE CARLO ANALYSIS; PARAMETERIZATION; SOCIAL IMPACT; SUGAR CANE;

BRAZIL;

SACCHARUM;

EID: 84924402420     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2015.02.013     Document Type: Article

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