贫困是一个复杂的系统工程问题，可以从多维度多尺度通过操作化得到量化的贫困指数。贫困测度涉及两个基本问题：一个是贫困标准的确定；另一个是贫困指标的选择。 为了满足新阶段国家对贫困区域贫困个体精确识别的新需求，针对现在量化贫困方法中存在的评价单元不够精细，统计数据不够精确，评估结果不够精准等缺陷。本研究尝试摒弃单纯依赖统计数据进行贫困度量和识别的传统方法，以地理空间分异规律为理论基础，以地理国情监测数据为基础资料，结合社会经济和调查资料，构建多维贫困测度的指标体系；借助空间网格技术和GIS空间分析技术，引入规则网格和不规则网格进行贫困测度尺度的空间推演，构建精准评估和测量贫困的技术体系。 本文以六盘山片区扶贫重点县——甘肃省会宁县为研究样点，通过多维贫困评价体系以及多维度测度方法得出的结果与实际结果对比，对提出的指标体系和测度方法的科学性和精确性进行验证，并通过实验证明这种评价方法的科学性及可行性。本研究在理论上可望丰富空间地理学研究内容，扩展空间贫困研究的新方法；在实践上可为贫困的精准识别提供技术支撑，为后期精准扶贫决策提供瞄准贫困对象的前瞻性依据。

Poverty is a complex system engineering problems, and it can be quantified through operationalization poverty index in order to study the problem of poverty quantitatively.Poverty measurement involves two basic problems: one is the determination of poverty standards; another is the options of poverty index. In order to meet the new demands of the national poverty precise identification of individual poor regions at the present stage, aiming at the flaw existing in poverty quantization method such as evaluation unit is not fine, statistical data is not precise enough to assess the results are not accurate, this study attempts to abandon the traditional method which relies solely on statistical data to measure and recognize poverty, we will construct the multidimensional poverty measure index system based on the theory of the spatial and differential laws of geography, on the basis of geographical conditions monitoring data, combined with the social economy and the survey data; then we will use the spatial grid technology and GIS spatial analysis technology to introduce the regular grid and irregular grid for measuring poverty of scale space. At last, the accurate assessment and measurement technology system of poverty can be built. This paper takes the key counties for poverty reduction of Liupanshan area –Huining county, Gansu province as the research sample, through the comparison of the results obtained by multidimensional poverty evaluation system in this paper and the actual results, we can verify the scientific and precision of our index system and measure methods . In theory, this study is expected to enrich the space geography research content, develop the new approach of the extension space poverty; In practice, this study can provide technical support for poor precision of recognition and provide the forward-looking basis for aiming at poverty objects of accurate poverty alleviation decision-making.