Bayesian maximum entropy and data fusion for processing qualitative data: theory and application for crowdsourced cropland occurrences in Ethiopia

Stochastic Environmental Research and Risk Assessment

Volumn 32, Issue 3, 2018, Pages 815-831

  Bogaert, Patrick ^a   Gengler, Sarah ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Bayesian data fusion; Bayesian maximum entropy; Categorical variables; Cropland; Crowdsourcing; Minimum divergence; Soft information; Spatial prediction

Indexed keywords

CONSTRAINT THEORY; CROWDSOURCING; DATA FUSION; DATA HANDLING; FORECASTING; ITERATIVE METHODS; PROBABILITY DISTRIBUTIONS;

BAYESIAN DATA FUSIONS; BAYESIAN MAXIMUM ENTROPIES; CATEGORICAL VARIABLES; CROPLAND; MINIMUM DIVERGENCE; SOFT INFORMATION; SPATIAL PREDICTION;

MAXIMUM ENTROPY METHODS;

AGRICULTURAL LAND; BAYESIAN ANALYSIS; CROWDSOURCING; DATA PROCESSING; MAXIMUM ENTROPY ANALYSIS; PREDICTION; THEORETICAL STUDY;

ETHIOPIA;

EID: 85020526377     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-017-1426-8     Document Type: Article

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