Spatialization Research on Shanghai's Population Based on Multi-source Data and XGBoost Model
Taking the mega city Shanghai as the research object,we fuse multi-source data such as nighttime lighting of LJ-01,points of interest,DEM,sub-spatial land use,rivers,etc.,to establish a multi-source feature database,and based on the GridSearchCV score evaluation,the XGBoost model was constructed to realize the 100 m×100 m population spatialization in Shanghai,and the accu-racy is compared with the Worldpop population dataset. The results show that the population distribution in Shanghai is characterized by multi-center distribution. LJ-01 nighttime lighting and POI data play an important auxiliary role in population spatialization. Al-though land use data is not of high importance to population spatialization,the spatial division of land use is equally important. It can reflect the differences in spatial functions of different land uses,and the accuracy of the results of this study (R2=0.98) is higher than that of the Worldpop population dataset (R2=0.78),indicating that the XGBoost model has high reliability and can provide ref-erence for other large urban population spatialization research.
spatialization of populationnighttime lighting of LJ-01points of interestsub-spatial land useXGBoost model
万方数据
维普
