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<br />Part 9: Metadata <br /> <br />Metadata are simply data about data. Metadata provide the user with detailed information concerning <br />content. quality, condition and other characteristics of data. Metadata can be extremely detailed or general in <br />nature, depending on the complexity of the dataset and the m~ticipated uses of the data. <br /> <br />On ./une 8, 1994 the Federal Geographic Data Committee (FGDC) approved the Contcl11 tilr Digitial <br />Gcospalial Metadata. The Standard specifies the content of Metadata for a set of geospatial data. <br /> <br />Part 10: Spatial queries <br /> <br />The rcal power of GIS lies in its ability to perform spatial qucries. Examples of spatial queries include <br />finding features within a specified distance of a point, tinding teatures adjacent to other features, tinding thc <br />nearest teatures to other features, finding features that fall inside a polygon on another theme or tinding <br />features intersected by a line or polygon. <br /> <br /> <br />" <br /> <br />lThe thematic map shown here is the result ofa spatial query. The objective of the <br />query is to assess TRI facilities in a portion of Durham County, North Carolina <br />and prioritize them for inspection, based on their location relative to the Special <br />Flood Hazard Area (SFHA). The squares represent the high priority sites that <br />need to be inspected (since they are within the SFHAs) while the dots represent <br />the low priority sites. <br /> <br />I. <br /> <br />I <br /> <br />The Digital Flood Hazard Data class will focus on the numerous ways spatial queries can be a powerful tool <br />for spatial analysis. <br /> <br />I t1 Home I <br /> <br />9or9 3117/98 10:05 AM I <br /> J <br /> . <br /> I <br />I" . <br />