Agricultural Land Grading Based On Regression Analysis And Valuation Studies

In this paper, principles of regression analysis, a regression analysis and comprehensive model and an example of Lijiang City, a county, the county's agricultural land classification and valuation study, of the following key elements:The first part is an introduction to the article, background, research significance, development and technology roadmap are described.The second part of the classification and valuation of agricultural land were studied overview, including classification and valuation of agricultural land related concepts, theoretical basis, classification and valuation principlesThe third part of agricultural land classification and valuation methods, including classification and valuation of agricultural land research and conventional methods of agricultural land based on regression analysis of classification and valuation methods.The fourth part is the example shows, introduces an overview of the study area, and based on the regression analysis, the region's agricultural land classification and valuation studies conducted and the results were analyzed.The fifth part of the classification and valuation of agricultural land application of research results, including classification and valuation results in land use planning, agricultural land results of adjustment, development and consolidation, land acquisition and basic farmland protection and other aspects of applied research.Part VI is the conclusion.Under the conditions of market economy, the research on the grading and evaluating of agricultural land that related to the level of people's livelihood, has important theoretical and practical value for promoting rational development and utilization of land resources, and protecting the basic rights of farmers and so on. In this paper, the grading and evaluating integrated model is established based on regression analysis. Taking one county in Lijiang City as examples, its level and price of agricultural land is studied based on regression analysis integrated model. Research area is farmland and corner in the agricultural land, dry land majored.