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Method for extracting multi-scale urban expansion association rules

A technology of urban expansion and extraction method, applied in the field of multi-scale urban expansion association rule extraction, which can solve the problems of low pertinence and universality of rules, low availability of rules, and rough information.

Inactive Publication Date: 2015-11-25
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the transaction unit is too large, the information is too rough, which reduces the availability of the found rules
If the transaction unit is too small, the association rule model is over-fitting, and the result is that the rules are too specific and the universality is too low

Method used

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  • Method for extracting multi-scale urban expansion association rules
  • Method for extracting multi-scale urban expansion association rules
  • Method for extracting multi-scale urban expansion association rules

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Embodiment Construction

[0069] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0070] Taking the main urban area of ​​Wuhan and its surrounding areas as the research area, please see figure 1 , a method for extracting association rules of multi-scale urban sprawl provided by the present invention, comprising the following steps:

[0071] Step 1: Collect data, including dataset A, dataset B and dataset C; dataset A: 2005, 2011 land use classification map (see figure 2 ), where the land use classification includes 5 types, construction land, cultivated land, forest land, water area and unused land; dataset B: digital elevation model dat...

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Abstract

The invention discloses a method for extracting multi-scale urban expansion association rules. First excavation variables are designed according to urban development region characteristics, and variable space data are obtained through a geographic information system spatial analysis method. Spatial statistics is performed on the excavation variables in a sampling mode of multi-level rule grids, and discretization is performed on excavation variable continuous values, so as to form a transaction database. Then, existing association rule generating algorithms are utilized to respectively excavate association rules in grids of each level of scale. After excavating results on each level of scale and corresponding grid units undergo space matching, through a spatial scale matching factor provided by the method, a most appropriate grid scale is determined to perform rule analysis. According to the method for extracting multi-scale urban expansion association rules, the problem that the excavating results are not spatial scale optimal result due to uncertainty in spatial scale division in traditional association rule analysis is solved.

Description

technical field [0001] The invention belongs to the technical field of urban planning, and in particular relates to a method for extracting association rules of multi-scale urban expansion. Background technique [0002] The analysis of urban expansion and its driving forces is a complex dynamic process. Association rule mining explores urban expansion patterns by mining association rules between urban expansion speed and driving forces. The most important thing in mining association rules is to establish a database of spatial transaction sets. Association rules were originally used to mine the relationship between goods sold at the same time in supermarket goods sales activities. To use association rule mining for the discovery of spatial patterns, it is necessary to solve two important problems of continuous space segmentation and continuous attribute segmentation in order to form a database of spatial things. The process is: the entire research space is divided into sev...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 解鹏刘耀林刘殿峰赵翔刘艳芳
Owner WUHAN UNIV
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