基于空间数据库的地类知识的发现

基于空间数据库的知识发现是地理信息系统应用研究的重要方向。以四川省石棉县为例,对基于空间数据库的地类知识发现进行了研究。利用了森林资源二类调查数据构建了GIS数据库,并从中提取出地类图层,利用地形图生成了DEM,结合年平均温度和年平均降雨量等栅格数据构成了空间数据库。在该空间数据库的支持下,探讨出了发现各地类分布的海拔、年平均温度,年平均降雨量等带谱知识,以及其空间配置知识的技术方法。揭示出了各地类分布的海拔、年平均温度和年平均降雨量等背景知识,以及各地类间的空间配置关系知识。该知识可用于支撑土地利用优化决策以及各土地利用的遥感识别提取。其方法还可以广泛用于自然、社会、经济和人口等空间分布带谱知识和空间配置知识的发现。

Discovering Land Use Type Knowledge from Spatial Database

Discovering knowledge from spatial database is an important aspect for GIS application study.Discovering land use type knowledge from spatial database was discussed in Shimian country of Sichuan province.The forest resource investigation data were used to create GIS database,from which the landuse type layer was extracted.The raster database with the resolution of 10 m including DEM,annual temperature and annual precipitation were created by using GIS software.The knowledge of each land use type distribution along with the elevation,temperature and precipitation were discovered by the methods that the land use type layer was overlaid with the raster database,and the results were calculated.The spatial relationship knowledge among land use types was discovered by the method that the sharing boundary length of the land use type with another land use type was divided by the total boundary length of the land use type.The knowledge was benefit to the optimization use of the land and interpretation of the remote sensing images.The method of knowledge discovering can also be used in other regions or fields such as nature,society,economics and population.