Research On Knowledge Map Construction And Analysis Method Of Geographic Analysis Model

The advancement of science and technology and society has raised people’s perception of the world and promoted the development of geographic analysis models that describe the nature of geographic entities and phenomena.With the increase of the number and variety,the complexity of the geographic analysis model is getting higher and higher,and the relationship between the models becomes more complicated,which increases the researcher’s difficulty in researching and applying the geographic analysis model.Currently,researchers often need to rely on frequent literature search and application-related queries to be more comprehensive cognitive-related geographic analysis models.Based on the development of geographic analysis models and applied research,this paper analyzes the characteristics of models and related elements and focuses on the conceptual framework of evolutionary scenarios and application scenarios.Based on this,the conceptual model,logical model and physical model of the geographic analysis model knowledge map are designed separately.Select the appropriate knowledge map expression method to realize the expression of the knowledge map of the geographic analysis model;design the different analysis methods for the evolution scene and the application scenario,and dig deeper the information of the model and related elements.The main research contents and results of this paper are as follows:(1)Design of basic elements of a knowledge map of the geographic analysis model.Starting from the development and application of the geographic analysis model,the elements involved in the analysis of the relevant process are mainly classified into five categories,namely model elements,researcher elements,location elements,time elements,and event elements.Based on the elements of the geographic analysis model knowledge map,the evolution scenarios of the geographic analysis model and the application scenarios of the geographic analysis model are expressed.(2)Geographical analysis model knowledge map data model design.Based on the feature representation and the expression of the elements of the evolutionary and application scenarios,the conceptual model design concept is proposed,and the relationship between the elements of the geographic analysis model knowledge map is analyzed.The relationship between the elements is divided into the internal evolution relationship and the relationship between the elements,and the evolution-oriented scenarios and applications are completed.Integrated conceptual model design of scenarios.Based on the conceptual model of the knowledge map of the geographic analysis model,the main attributes of each element are analyzed,and the logical model design of the elements is realized by combining the evolution process of the elements and the state changes.Combining the internal evolution relationship of the elements with the analysis of the relationship between the elements,the two types of relationships are expressed through the relational model,and the relational logic model design is completed.It is designed from two aspects of the data storage method and structure to realize the structured storage of a knowledge map of the geographic analysis model.Integrate conceptual expressions,logical expressions,and structured storage to complete the data model design of the geographic analysis model knowledge map.(3)Research on knowledge representation and analysis methods of the geographic analysis model.Combining the conceptual model,logical model and structured storage designed in the previous paper,the knowledge map representation method based on a force-oriented graph is studied,and the expression method of knowledge map of geographic analysis model is completed,and then the knowledge map of geographic analysis model is clearly expressed.Analytical methods are studied from both evolutionary and application scenarios,providing analysis methods such as evolution-related event analysis,evolution analysis,basic statistical analysis,spatial distribution analysis,and cooperative network analysis,and supporting researchers to understand geographic analysis models from various aspects.(4)An analytical analysis method for knowledge maps of geographic analysis models.Combining the conceptual model,logical model and structured storage designed in the previous paper,the expression analysis of the knowledge map of the parameter geographic analysis model,the design method of the knowledge map of the situation-driven geographic analysis model,and the expression analysis and evolution process of the feature relationship context Analytical methods such as expression analysis of scenes,expression analysis of evolution accompanying scenarios,expression analysis of applied statistical scenarios,and expression analysis of cooperative network scenarios support researchers to understand geographic analysis models from various aspects.Through the basic element design,data model design,expression,and analysis method research and case experiment of the geographic analysis model knowledge map,the feasibility of constructing the knowledge map of the geographic analysis model proposed in this paper are embodied.To a certain extent,this research can enhance the cognitive ability of researchers on geographic analysis models,and help researchers to understand,select and apply geographic analysis models more accurately.