Method for detecting scale sensitivity of cellular automaton model

A cellular automaton and detection method technology, applied in the detection field, can solve the problems of lack of correlation test analysis, lack of research on the impact of simulation accuracy, lack of combination optimization selection method and so on

Active Publication Date: 2015-07-22
WUHAN UNIV OF TECH
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In addition, the above research still has the following problems: (1) There is a general lack of research on the relationship between scales in the cellular automata model and the influence of scale combinations on the sensitivity of each scale and the impact on simulation accuracy; (3) There is a lack of testing and analysis of the correlation between different scale factors in the cellular automata model

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for detecting scale sensitivity of cellular automaton model
  • Method for detecting scale sensitivity of cellular automaton model
  • Method for detecting scale sensitivity of cellular automaton model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be further described below with reference to the embodiments and accompanying drawings, but is not limited to the content described below.

[0049] Aiming at the defects and deficiencies of the existing research in the scale sensitivity analysis and expression in the land use change cellular automata simulation process, the invention proposes a method according to the technical route. figure 1 The research method shown is the method of using orthogonal experimental design to detect the scale sensitivity of cellular automata simulation of land use change. For the scale factors and levels that need to be examined in the automata model, select an appropriate orthogonal table for testing scale sensitivity; on this basis, simulate the land use change in the study area, and then analyze the cell based on the accuracy evaluation index Kappa coefficient. The optimal level combination in the automata model, and the correlation between the various scal...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method for detecting analogue scale sensitivity of a cellular automaton of land use change by using an orthogonal experimental design. The method specifically comprises the following steps of: firstly, explaining and extracting land use information by using remote-sensing images and integrating the land use information, then determining scale factors and levels to be tested in the cellular automaton model and choosing a proper orthogonal table of tested scale sensitivity; on the basis, simulating and researching land use change situations of a region, analyzing the best level combination in the cellular automation model based on Kappa coefficient of an precision evaluation index, and testing the existing relevance among the scale factors so as to comprehensively and objectively analyze the sensitivity existing in the simulation process of the cellular automaton model of the land use change. The method for detecting scale sensitivity of the cellular automaton model fills the gap in the analysis and expression of the scale sensitivity during the simulation process of the cellular automaton model of the land use change and has important guiding significance for ensuring the accuracy and efficiency of simulated results.

Description

technical field [0001] The invention relates to the technical field of detection methods, in particular to a method for detecting the simulation scale sensitivity of cellular automata for land use changes by using an orthogonal test design. Background technique [0002] Land use change is an important field and hot issue in global change research in recent years. Due to the complexity of the land use change process, various models characterized by simplification and abstraction play an irreplaceable role in understanding and predicting the land use change process. The Cellular Automata (CA) model has a "bottom-up" research idea, powerful complex computing functions, and inherent parallel computing capabilities, which makes it natural and reasonable in simulating land use change. And feasibility, thus becoming an important method and mainstream tool for land use change simulation expression. [0003] In the 1970s, Tobler formally used CA as a geographic model for the first ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 吴浩周璐张建新付锟高杨辉
Owner WUHAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap