Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Land transition simulation method based on delayed communication CA model

A simulation method and land technology are applied in the field of land change simulation based on the delayed communication CA model, which can solve the problem of low accuracy and achieve the effect of improving the accuracy and assisting the application of land planning.

Pending Publication Date: 2022-03-08
CHONGQING UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the inadequacy of the low prediction accuracy of the synchronous cellular automata model in the prior art, and provide a land change simulation method based on the delayed communication CA 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
  • Land transition simulation method based on delayed communication CA model
  • Land transition simulation method based on delayed communication CA model
  • Land transition simulation method based on delayed communication CA model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Such as figure 1 As shown, this embodiment provides a method for simulating land changes based on the delayed communication CA model, including the following steps:

[0054] Step 101, input the land use data and driving force into the trained neural network ANN model, and obtain the adaptability probability of the land change type of each land unit in the land use data;

[0055] In this embodiment, the land use data refers to the land type corresponding to each land unit in a certain area at a certain moment, and the land type includes fields, factories, towns, etc.; the driving force refers to factors that affect the evolution of land types, including Factors such as road distance, slope, distance from railway, distance from city center, and per capita GDP; the land change type refers to the land unit maintaining a certain land type or evolving from a certain land type to another land type after a certain period of time.

[0056] Step 102, iterating the delayed commun...

Embodiment 2

[0126] In order to demonstrate the feasibility of the land change simulation method based on the delayed communication CA model in land simulation, the future land conditions will be simulated in practical application. In order to evaluate the effect of the land change simulation method based on the delayed communication CA model, take Cucuma Mountain as an example, input the historical data of the place, and set the current year as the target year for simulation.

[0127] All calculation examples are run on 16GB memory, 2.9GHz Intel CPU, 64-bit windows operating system. Python3.7 is used for neural network ANN model calculation, and C++ and standard graphical interface tool suite QT are used to realize the delay communication CA model land simulation process.

[0128] Using the land use data of Cuguashan Village in 2005, 2012, and 2017 (respectively as Figure 5 , 6and 7) to perform simulations, in which the land use data in 2005 and 2012 are used to train the neural networ...

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 discloses a land change simulation method based on a delayed communication CA model, and the method comprises the following steps: 101, inputting land utilization data and a driving force into a trained neural network ANN model, and obtaining the adaptability probability of the land change type of each land unit in the land utilization data; step 102, performing iteration of the delayed communication CA model, stopping iteration when a preset condition is met, and outputting the land type of each land unit after iteration; cells of the delayed communication CA model are land units, and the states of the cells are land types of the land units; cells of the delayed communication CA model are subjected to state change independently, and each cell carries a historical state cache of a neighbor; in one round of iteration of the delayed communication CA model, a combined probability is obtained by combining an adaptability probability, an inertia coefficient, a neighborhood influence and a conversion cost based on a state change function, and then a cell change state after the current iteration is obtained in a roulette selection mode.

Description

technical field [0001] The invention relates to the field of land simulation, in particular to a method for simulating land change based on a delayed communication CA model. Background technique [0002] With the rapid development of China's economy, land features are undergoing rapid changes. For example, with the rapid progress of urbanization, cities continue to expand around, and the surrounding woodlands and fields are gradually converted into urban land. The available land resources will be will become more precious. Reasonable land planning policies will affect future development and land use, so a model is needed to assist policy formulation. [0003] Currently the most commonly used land simulation model is the FLUS model, which combines the neural network model ANN and cellular automata CA to construct a simulation model for future land evolution. Among them, ANN is mainly used to calculate the adaptive probability of pixels belonging to various land types. Cell...

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
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/16G06N3/08G06N3/04G06K9/62
CPCG06Q10/067G06Q10/04G06Q50/165G06N3/08G06N3/047G06F18/2415
Inventor 李佳李涛刘志雷钦宋伟
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products