Land use data update and analysis method based on event semantics

Abstract

The invention discloses a land use data update and analysis method based on event semantics. The method comprises the steps of: extracting corresponding geographical events in land use change service through the event semantics, and defining the linkage relation among the events; taking the events as a core to establish a change information record list used for recording the reasons that drive the state of land use data to change, the time and the linkage relation among the data; realizing the cascade update of the land use data based on the events, and recording information of a change process; and utilizing the genetic inheritance relation to perform historical retrospect query through an event sequence to realize the rapid analysis of the land use data. The method accurately records the information of the change process when the operation of the land use change service is simplified, ensures the integrity and cohesion of spatio-temporal data, improves the efficiency of historical retrospect, realizes the rapid analysis of the land use data, and has important practical significance on establishing the dynamic monitoring of land use and strengthening land management.

Description

technical field [0001] The invention relates to the technical field of geographic events, in particular to a method for updating and analyzing land use data based on event semantics. This method has important practical significance for establishing dynamic monitoring of land use and strengthening land management. In addition, the present invention is also applicable to updating and analyzing other spatio-temporal data. Background technique [0002] The land use database is constantly updated as time changes. In order to ensure the current situation of land use data, the country conducts a land use change survey every year, and the results of the survey are reflected in the database through data updates. In this process, all land information that has changed in this year is obtained through field surveys, and changes are made one by one for land use entities, and the data update is finally completed. The whole process can only be completed with the help of a large number of...

AI Technical Summary

Problems solved by technology

[0004] 1. The update of land use data needs to be carried out one by one for land use entities, and the correlation between land use entities cannot be reflected. Operators need to switch between different land use entities for graphics processing, and input a large amount of attribute information. The process Complicated, it is difficult to ensure the consistency of space and attributes between land use entities;

[0005] 2. The change process information is not recorded in the land use data update process, and there is a lack of complete correspondence between the current situation data and historical data. Historical retrospect must be analyzed through spatial relationship superposition, which is inefficient and makes it difficult to analyze land use data.

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