| land fertility evaluation job is to take advantage of formula fertilization by soil testing survey data and the second soil general survey of spatial data and attribute data, to classify the land fertility of research area; And to report promptly and accurately the problems of land resource; to rationally utilize land resource and provide basis for governing and repairing soil of deterioration, desertification and pollution; And to provide decision support for agricultural decision maker, basic agricultural technicians and peasants, to guarantee sustainable development of our agriculture. Therefore, developing land fertility evaluation job, is of great significance.This project came from ministry of agriculture project of"formula fertilization by soil testing". This research taked Guzhen county as an example, which located in Huaibei plain in Anhui. We firstly according to regulation by ministry of agriculture of analytic hierarchy process to complete this evaluation work. Taked advantage of GIS software such as ArcGIS 9.0 and MapGIS 7.0 and so on as a spatial analysis, in Excel and Access applying software processed attribute data. By means of land resource management information system of Yangzhou, finally completed this project.At the same time we used principal component analysis to evaluate the study area. Thus compared of the results of these two methods and to analyzed the reason, to attain the most suitable method for Huaibei plain areas.principal component analysis is a common method of multivariate statistical analysis, which is a mathematical method that dealing with dimension reduction, the basic idea of which is to try out to many definite correlation indexes(such as has P indexes), recombining a new group of independent comprehensive indexes to take place of original indexes, at the same time according to requires, choosed fewer comprehensive indexes to reflect original indexes'information. This paper used this principal component analysis and by means of SPSS, to evaluate the study area's land fertility. ultimately compared with two results and analyzed the result. the results showed that, analytic hierarchy process was better than principal component analysis, that's because the former was systemic, the result was more close to actual situation, more suitable for land fertility evaluation project of Huaibei plain areas. |
