This invention discloses an online intelligent assessment
system for
urban land value based on
big data analysis, comprising: a data normalization module for acquiring and preprocessing multi-source heterogeneous data; an
association mapping module for performing temporal registration, using data components as graph nodes and calculating association weights to construct a value association graph; a propagation solution module for locating nodes to be assessed, iteratively updating access probabilities along node connections to obtain an association propagation
state sequence; an evolution and recombination module for performing multi-scale time window rearrangement, elevating to a linear evolution space and recursively recombinating to obtain the value evolution state; an inversion assessment module for variational
Bayesian inversion, filtering out posterior state components and retaining posterior parameters to obtain the
value assessment result; and an incremental update module for acquiring feedback data and incrementally updating the value association graph. This invention enables online intelligent assessment of
urban land value, improving the accuracy of
value assessment.