Land utilization automatic division method
An automatic zoning and land technology, applied in special data processing applications, instruments, calculations, etc., can solve the problems of rational use of land resources, weak guidance for use control, and unreasonable results of land use zoning. and applicability, the effect of improving efficiency
Inactive Publication Date: 2012-02-29
WUHAN UNIV
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Problems solved by technology
[0003] Traditional land use zoning methods based on econometric geography and geographic calculation methods are difficult to simulate the impact of complex human behaviors in land use systems on land use systems, resulting in low rationality of land use zoning results and insufficient guidance for rational use of land resources and use control. strong defect
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Embodiment 1
[0054] 1. Extract the basic data of land use in a certain township and integrate it. The integrated data is the land use combination and the information of each map spot in it, as shown in the attached image 3 shown.
[0055] 2. Apply particle swarm optimization algorithm to optimize the above data, model and select the optimal land use layout.
[0056] 3. Set the size of the particle swarm to 20, the maximum flight speed of the particles (3, 4) and the acceleration weight (1.44, 1.44), the maximum number of iterations is 200, and the error value is 10 -6 , the position corresponding to the initial particle is determined by the coordinates of the center of gravity of the patch, the attribute corresponds to ten land use types, the range is between (0, 10), and the initial speed is the maximum flight speed multiplied by a random value between (0, 1). The speed at which the number is randomly generated.
[0057] 4. Calculate the fitness of each particle according to the fitnes...
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The invention relates to a land utilization automatic division method, and belongs to the field of land utilization planning. The automatic division method comprises the following steps: extracting and integrating the basic data of land utilization division; constructing a land utilization automatic division model based on a particle swarm optimization algorithm, establishing a mapping relationship between an unknown question and a particle swarm by taking the data as model input data and taking a land utilization patch as a data processing unit, finally solving a land utilization optimized layout result; and combining patches of adjacent same type land, and extracting the boundary of the combined patches so as to obtain a land utilization division boundary, and finally generating a land utilization division chart. The method has the advantages of well simulating the intelligent behavior of human being in the process of land utilization decision to improve the rationality and suitability of land utilization division so as to overcome the defect that the rationality of land-use zoning is poor caused by low efficiency of the conventional land utilization efficiency and hard simulation of the intelligent behavior of human being.
Description
technical field [0001] The invention relates to an automatic land use zoning method, in particular to an automatic land use zoning method based on a particle swarm optimization algorithm applied in land use space optimization configuration, and belongs to the field of land use planning. Background technique [0002] Land use zoning is the main technical means of land resource use control, and it is also the key content of land use space optimal allocation. International research on land use zoning began in the early 20th century with the regional comprehensive zoning of land use initiated by the United States, and then in the middle of the 20th century began land use zoning research to solve the rational allocation and layout of land resources among various departments, such as Korea and Japan. The hierarchical zoning system of national land planning. In recent years, land use zoning studies have begun to focus on zoning technical means and zoning concepts, and the accuracy...
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IPC IPC(8): G06F19/00
Inventor 刘耀林何建华刘殿锋
Owner WUHAN UNIV