CONSTRUCTIONS OF A GEOINFORMATION ATLASSPATIAL ANALYSIS MODEL TOWARD A PERSPECTIVE OF THE SPATIAL PATTERN CHANGES IN LAND USE
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摘要: 文章以松嫩平原为例,开展土地利用格局空间变化研究。该区包括白城市、松原市等10个市县,土地面积46930km2。半个世纪以来,该区的土地利用格局发生了较大的变化,湿地萎缩、草地退化、土地沙化、土地盐碱化,荒漠化迅速发展,制约该区的可持续发展。本文以多元遥感数据为空间数据源,以3S技术为支持,以1km×1km的栅格单元为最小信息图谱单元,构建地学信息图谱-空间分析模型,进行土地利用变化研究; 土地利用格局及其影响因子的空间回归分析; 及土地利用格局空间变化趋势预测。研究结果表明,到2019年该区的土地利用结构与功能将发生巨大的变化,湿地、水域、草地的面积分别减少61.37%,52.45%和45.77%,盐碱地面积增加21.76%。盐碱荒漠化将进一步扩张。因此,必须及早制订相应的对策与方案。文章将地学信息图谱方法与空间分析方法相融合,构成地学信息图谱-CAMarkov耦合模型,以栅格图谱数据-元胞图形数据进行模型运算,将复杂的、变化的生态景观特征以图谱的形式展现出来。从而使研究的全过程实现了栅格化、数字化、空间化、动态化和图谱化。Abstract: Taking Songnen Plain as an example,this paper carried out research on land use pattern space changes. The study area includes Baicheng City,Songyuan City and other 10 cities and counties,with a total area of 46930km2.For half a century,landuse pattern changed dramatically. Lakes' shrinking,wetlands' disappearing,grassland's degradation,land salinization,and desertification developed rapidly,are seriously threatening the regional sustainable development. This paper used multiple remote sensing data source as spatial data. Supported by 3S technologies,the 1km×1km grid unit is taken as the smallest information atlas unit and Geoinformation Atlasspatial Analysis Model was built up. Spatial regression analysis between the landuse patterns and their impact factors had been investigated,and the land use pattern space change trend was predicted. The south West Songnen Plain landuse information maps in 1989 and 2004 were put into Markov model,the landuse transition probability matrix and the transfer area from 1989 to 2004 were calculated. During the geoinformation atlas-CAMarkov model construction,2004 was setting as starting,suitability information atlas for changing land use pattern were put into the transfer matrix and transfer area files,using 5×5 filter,and the cycle number was set to 15.Finally,the forecasted atlas distribution atlas of land use pattern in 2019 was obtained.Through statistical analysis,results are as follows: by 2019 the area of land use structure and function will be changed enormously; wetlands,water and grassland area will decrease 61.37%,52.45% and 45.77%,while the saline land area will increase 21.76%. Saline desertification will expand further. Therefore,the appropriate countermeasures and programs must be established as soon as possible.This paper integrated the Geoinformation Atlas and spatial analysis model,constituting a Geoinformation Atlas-CAMarkov coupling model.The model option uses the raster atlas data and CA graphical data,which showing the complex changes in the ecological landscape features as information atlas. The whole research had been finished in rasterizing,digitization,spatialization with a dynamic fashion.
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Key words:
- Geoinformation Atlas /
- spatial analysis model /
- numerilization /
- spatialization /
- land use pattern /
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