The invention relates to a
population distribution spatial-temporal evolution and
cognition method considering urban pattern characteristics. The
population distribution spatial-temporal evolution andcognition method comprises the following steps: 1) carrying out scale conversion of multi-source and multi-scale
remote sensing images; 2) extracting urban information based on the multi-source
remote sensing image; 3) analyzing a multi-scale urban pattern-structure-function spatial-temporal relationship; 4) carrying out spatial-
temporal correlation and
coupling analysis on
population distribution and urban characteristics; 5) constructing a population distribution
simulation and
prediction system considering urban pattern characteristics; and 6) carrying out spatial-temporal monitoring and
cognition on population distribution in different scenes. The population distribution spatial-temporal evolution and
cognition method has the advantages that population general survey and statistical data, multi-scale
remote sensing data and multi-source
land utilization /
coverage data are used as data sources; the spatial-temporal characteristics and the
evolution rule of the multi-scale urban spatial pattern are studied, and the population distribution spatial-temporal evolution model considering the town characteristic pattern is constructed, and the boundary of the population distribution density is finely described from the multi-level spatial scale, and a theoretical basis and a
technical support are provided for population
resource utilization and policy adjustment and social and economic
resource allocation.