Previous mineral-resource assessment data compilation - shapefiles

The zip file contains shapefiles showing areas of mineral potential for various commodities. The datasets were compiled from previous mineral resource potential reports which covered the SaMiRA project areas. The shapefiles were compiled from datasets which had different data structure schemes and which used two different types of assessment methodology. The BLM used qualitative categorical and others used the USGS quantitative 3-part form of assessment. The original GIS data was re-formatted so that all of the shapefiles had one of two consistent attribute table structures, one for reports that had quantitative data, and one for reports with qualitative data. A general attribute table structure was created which contained fields for information on the deposit type assessed, assessment rank, type of assessment, and tract name and identifier. For the attribute table of the quantitatively assessed reports which used the USGS 3-part form of assessment, we added additional fields for the deposit model name and number, probabilistic assessment results data, and estimators. We captured the original information as presented but also standardized nomenclature when we could and referred to the report text in some instances in order to fill in missing data into the descriptive data tables.本压缩包内含展示多种矿种潜在矿区地块范围的形状文件（shapefile）。本数据集整合自过往针对SaMiRA项目覆盖区域编制的矿产资源潜力报告。上述形状文件整合自多套数据结构方案不一、且采用两类不同评估方法的源数据集：美国土地管理局（Bureau of Land Management, BLM）采用定性分类评估法，其余参与方则采用美国地质调查局（United States Geological Survey, USGS）的定量三分法评估模式。原始地理信息系统（Geographic Information System, GIS）数据已完成格式标准化重构，使所有形状文件均采用两种统一属性表结构之一：一类对应包含定量数据的报告，另一类对应包含定性数据的报告。本次构建了通用属性表结构，其字段涵盖评估矿床类型、评估等级、评估类型以及矿区地块名称与标识符等信息。针对采用USGS定量三分法评估的报告所对应的属性表，我们额外增设了矿床模型名称与编号、概率评估结果数据以及评估估算器等字段。我们完整保留了原始信息的呈现形式，同时尽可能统一术语规范；在部分场景下，还通过查阅报告原文，为描述性数据表补充了缺失的数据内容。