A method and system for identifying urban multi-level boundaries

Abstract

The invention discloses a method and system for identifying urban multi-level boundaries, including preprocessing impervious surface spatial data and water body spatial data, and performing focus statistics on the impervious surface spatial data and water body spatial data; The statistical results are classified to generate spatial data of urbanized patches; for the spatial data of urbanized patches, RUC clustering is performed based on the area size index of each patch; the clustering results are post-processed to generate urban multi-level boundaries . The automatic solution for city boundary identification proposed by the present invention is mainly identified based on the physical form characteristics of the city, which can not only provide a spatial data basis for multi-scale city research, but also support more application requirements.

Description

technical field [0001] The invention belongs to the field of surveying and mapping and geographic information, and particularly relates to a technical solution for city mapping and city boundary identification. Background technique [0002] In the corresponding technical research of the city, the first problem to be faced is how to define the city. Settling in the real space, this problem can be specifically expressed as: how to spatially define an urban settlement. The spatial definition of a city is also one of the basic problems that urban research needs to face. This is because most statistical indicators of a city, such as urban population and urban GDP, can only be counted when the spatial scope is clear. Although the spatial definition of the city is the basis of research and is very important, it is difficult because it can have different social, economic and cultural meanings. Some scholars divide the spatial scope of a city into three types: administrative region...

AI Technical Summary

Problems solved by technology

In cross-country comparative studies of cities, the differences between different definitions of cities are often easily overlooked, which greatly affects the reliability of the results of comparative city studies

Currently, there is still a lack of global consensus and international standards for city definitions

At the same time, as capital increasingly penetrates into rural areas, industrial and mining areas, and remote areas, urban and rural landscapes are increasingly mixed, and the spatial boundaries between the two are increasingly blurred, making the traditionally commonly used dichotomy of "urban / rural" increasingly difficult and insufficient.

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