The objective of this work was to critically analyze the demographic data indexed in the National Spatial Data Infrastructure (Brazil) for use in the regionalization of Brazilian anthropogenic biomes. The ISO/IEC 17,025 Standard was used as a basic tool to structure the Guide for Critical Analysis of Demographic Results, thus establishing the connection between Metrology and Human Ecology to guarantee the quality of results. In this perspective, first, the conceptual and analytical transposition of the provisions of the standard applicable to the evaluation of methods and results was carried out, being them the parameters of validation of methods and the tools to guarantee the validity of internal results. After the transposition, the manuals and technical reports, data, metadata, and results of the Brazilian census method were critically analyzed. The results showed that the official producer of results in Brazil uses resources for quality control that meet the characteristics of the devices transposed in this work. Thus, it was observed that the method meets the respective intended use of producing demographic results. It was also noted that it reduces the area covered by census information, relevantly specializing population data for the regionalization of Brazilian anthromes. Therefore, the quality of the demographic data was confirmed by means of an analytical system based on metrological principles. Furthermore, the method of critical analysis of demographic data presented itself as a tool that can help other users of geospatial data in the qualitative assessment of the conformity of the results to the intended use.

这项工作的目的是批判性地分析国家空间数据基础设施（巴西）中索引的人口数据，以用于巴西人为生物群落的区域化。ISO/IEC 17,025 标准被用作构建人口结果批判性分析指南的基本工具，从而建立了计量学和人类生态学之间的联系，以保证结果的质量。从这个角度来看，首先，对适用于方法和结果评估的标准条款进行了概念和分析转换，将其作为方法验证的参数和保证内部结果有效性的工具。转换后，对巴西人口普查方法的手册和技术报告、数据、元数据和结果进行了批判性分析。结果表明，巴西的官方结果制作者使用符合本工作中转置设备特性的质量控制资源。因此，观察到该方法满足产生人口统计结果的各自预期用途。还注意到它减少了人口普查信息所覆盖的区域，相关地专门用于巴西人类区域化的人口数据。因此，人口统计数据的质量通过基于计量原理的分析系统得到确认。此外，对人口数据进行批判性分析的方法本身就是一种工具，可以帮助地理空间数据的其他用户对结果与预期用途的符合性进行定性评估。