资源与环境承载力的研究对人类社会经济活动意义重大。将资源与环境视为一个复合的生态系统，依据多层次指标体系结构，建立了以资源与环境承载力为目标层的集成指标体系。综合分析各指标间的相互联系，以及集成性指标对准则层指标、准则层指标对目标层的作用，构建了若干个集成指标模型、3个准则层指标模型，以及资源与环境承载力综合指数模型。运用GIS技术，形成了系统化、定量化的分析方法体系，实现了模型在网格单元的运算。研究结果反映了资源与环境承载力空间分布的连续性和渐变性，克服了以行政区域为分析单元的突变性。以山西省阳高县作为研究对象，采用相应技术方法进行资源与环境承载力评价研究，验证结果与实际情况基本吻合，表明了所建立模型和技术方法的合理性和可操作性。

Over-exploitation of resources resulting in environment severely damaged, making the resources and environmental carrying capacity declined significantly. Research on carrying capacity of resources and environment has become popular and a trend in ecological environment research. Moreover, it has great significance to economic activity of human society. Regarding resource and environment as a complex ecological system, this article established the integrated index system of resources and environmental carrying capacity based on multi-level structure of target layer-criterion layer-index layer, which contains three criteria level indicators, eight integrated indicators and the integration of a series of basic indicators index system with the resources and environmental carrying capacity as the target layer. Through a comprehensive analysis of the linkages between indicators and their contribution to the overall goal, several integrated indicators model, socio-economic development level model, resources carrying capacity model, environmental vulnerability degree model, resources and environmental carrying capacity composite index model was constructed. Regarding grid which distributed evenly and continuously with the same size as the basic unit of analysis, a systematic and quantitative techniques methodology was formed through the use of GIS technique. In addition, calculation of index data in grid cells and visualization of the resources and environmental carrying capacity was achieved. The results reflected the continuity and gradual change of spatial distribution of resources and environmental carrying capacity, improved the mutability generated by administrative divisions, i.e. the unit of analysis. By the empirical analysis of Yanggao County in Shanxi Province, the validity and operability of the model and method was verified due to the consistency of the results with the actual situation.