Processing Agricultural Climate Space Data Based GIS

Agriculture is the domain being bound up natural environment. Agricultural resources is all kinds of matter and energy been use of agricultural activities.The variety of land utilization,constituent of soil and climatic factor about agricultural resources refers not only space but also time.The variety can only incarnate in amount but not analyze variety disciplinarian of space and variety direction of time with traditional database management systems(DBMS).As a primary tool settling space problem,geographic information system(GIS)is a tool applied deep all domains of agricultural.GIS gather,store,manage apace data of agro-climate resources,which monitor dynamically and reflect space distributing and tendency of agro-climate resources via stating, analyzing.Space data processing and space analysis is importance function for GIS. The thesis analyses the steps and methods for transforming data, processing space data,setting up small grid calculation model and analyzing space data model.Using 30 years'reorganized data of 13 stations and 1:250000 geographic information of Linyi,the thesis completes agro-climate spatial data visible in virtue of the technique of GIS,applying space interpolating,the Digital Elevation Model(DEM)and space analysis model. The primary contents as follows:1.Processing the basal geographic information data of Linyi: transforming the general format data of Shandong province to dot,line, and polygon by using software,it splices and clipped the basal geographic information data of Linyi.2.Spacing agro-climate data of Linyi:During Comparing with Several methods of inserted value,the thesis adopts the method of mixed inserted value based regression analysis.Applying multianalysis of regression, the thesis sets up a small grid calculation model and calculates the agro-climate resource dpi 100m×100m grid.3.The Digital Elevation Model(DEM):The map is transformed grid by being scanned.In the flat of Citystar4.0,the DEM is directly produced by splicing the grids or interpolated using vector contour line.4.Agriculture Climate Data Space Analysis Model:Based on geographical parameter and agro-climate resource,the thesis sets up multianalysis of regression model calculate agro-climate resource of Linyi.The DEM combines the space analysis model that uses the procedure edited by VC to calculate distribution of agro-climate element on the every grid.It sets up respectively models concerning height above sea level,latitude and longitude because of the linear or curved surface fitted by height above sea level,latitude and longitude.The research in this thesis is the part of The China Meteorological Administration(CMA)3rd Agriculture Climate Regional Layout task: agriculture climate element distributing and historical evolvement.The task utilizes New technology(GIS),New Materials(30 years' reorganized climatic data),New Methods(Data Visualization),and achieve agriculture climate space data in visual based GIS technology.This project is important significance for Optimized disposition of agricultural climate resources,developing and setting up protecting and monitoring system of agricultural climate resources.At the same time, the project supplies more support for government decisions on agriculture production.