会议专题

Models of Regional Agro-climatic Resources Survey and System Assessment Based on Geo-spatial Data Mining

The research is to develop models for regional agroclimatic resources survey and system assessment based on geospatial data mining in Fujian Province of China. A set of average values of 30-years data in 8 agro-climatic indicators associated with geographical coordinates (collected from 71 weather stations in the province) was first processed using Statistical Analysis System (SAS) to develop a Trend-surface Analysis model. The resulting 8 equations would, then, produce estimated values for the indicators when supplying with geographical coordinates. Using the 8 equations with Digital Elevation Model (DEM) of Arc-GIS, the model would obtain estimated values for no data areas, i.e. integrated predicted grid values of Trendsurface with Residual (TSR), so as to form a distribution grid system of the provincial agro-climatic resources. At the end, the research introduced a fuzzy concept of “agro-climatic suitability by a model which applied Fuzzy Mathematics and Factor Analysis over the indicators for assessing the agroclimatic system. The result of the model includes the agroclimatic suitability corresponding to the 8 indicators and 7 agroclimatic resources coefficients, which reveal the organic relationship between agro-climate and plant ecology. Using these models together, a series of assessments can be conducted at the grid level accuracy against a single as well as the general quantity and quality of the agro-climatic resources. In the sense of agro-climatology and physical geography, the output of the models has been well explained and will deliver backings to the regional agricultural planning and arrangement.

Agro-climatic resources survey Trend-surface Analysis Fuzzy Mathematics Factor Analysis agro-climatic suitability agro-climatic resources coefficient system assessment Fujian Province

Luming Yan

School of Geographical Sciences, Fujian Normal University No.32,Shangsan Road, Fuzhou 350007,Fujian Province, China

国际会议

2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(第一届空间数据挖掘与地理知识服务国际学术会议 ICSDM 2011)

福州

英文

435-439

2011-06-29(万方平台首次上网日期,不代表论文的发表时间)