Household number estimation method integrating Internet information and GIS technology

Abstract

The invention provides a household number estimation method integrating Internet information and a GIS technology, and the method is characterized by comprising the following steps: 1) employing building vector data to identify a residence type building, and extracting the geographic coordinates, the area contour, and the building layer number information of the residence type building; 2) acquiring network residence house information, and acquiring longitude and latitude coordinates of a residence type building and housing building area data; and 3) estimating the number of households by using the residential building vector data obtained in the step 1) and the residential building area data obtained in the step 2). According to the method, rapid statistics and accurate estimation are carried out on the family number information, the time required by a project is shortened, the labor cost is reduced, and the family number information on the fine spatial scale is embodied.

Description

technical field [0001] The invention belongs to the field of spatial analysis of geographical information, in particular to a method for estimating the number of households. Background technique [0002] Detailed information on the number of households plays an important role in forecasting the demand for residential housing and automobiles, and the precise layout of urban infrastructure. The number of existing households is mainly obtained through census or population sampling survey, and the method of manually filling out questionnaires is obtained. This manual survey method relies on statisticians filling out questionnaires from door to door, and then transcribing and sorting out the forms by specialized personnel. into a book. The whole process consumes huge manpower, material resources and financial resources, not only the data acquisition time period is long, but also the human and financial resources costs are huge. In addition, the data on the number of households ...

AI Technical Summary

Problems solved by technology

The whole process requires huge manpower, material and financial resources, not only the data acquisition time period is long, but also the human and financial costs are huge

In addition, the obtained data on the number of households is mainly based on the administrative area as the statistical unit, which cannot reflect the information on the number of households on a fine spatial scale.

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