Abstract:

The population data is usually calculated by administrative districts. When comprehensive analysis is carried out with other spatial data, there are often many problems such as different scales. The spatial data of population data is the process of exploring the spatial distribution of population. The final result can be other spatial correlation research. It lays the foundation and can also be directly applied to disaster impact assessment and other fields, which has important academic significance and application value. The population spatialization model is based on the spatial relationship between population and land use and traffic road network data. The population is divided into urban population and rural population. The land use type is empowered by the relative weight method, and the traffic network data is used to correct it. Spatial distribution of rural population; analysis of different ways of affecting different levels of traffic road network data, comprehensive distribution of urban population, and finally through the planning and other methods to superimpose and integrate different types of data. The results of population data spatialization results show that China's population is very sensitive to altitude and topography. Low-altitude plains and terraces only account for 16.49% of China's land area, while the population living on it accounts for 54.88% of the total population. On the contrary, China's mountains The proportion of hills is 55.78%, but only 22.11% of the population is distributed. The eastern population is concentrated in the Huanghuaihai area, the Sichuan Basin, the Yangtze River small and medium-sized tourist, and the Northeast Plain. The urban population in China presents a typical 鈥減oint-axis鈥� distribution. The distribution along the main traffic lines is more prominent.

Key words: Population data spatialization, Land cover, Traffic network, Related weights

鎽樿锛�

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鍏抽敭璇�: 浜哄彛鏁版嵁绌洪棿鍖�, 鍦熷湴瑕嗙洊, 浜ら�氳矾缃�, 鐩稿叧鏉冮噸娉�