Aggregated Way represents a set of road segments that share a common function or characteristic. It is a line feature class of the NSW Digital Topographic Database ( DTDB), within the Transportation theme. An aggregated way may be a National highway, Road Authority state highway, RTA main road, RTA secondary road, RTA Metroad, RTA on road cycle way, off road cycle way, national route, RTA state Read More »
Aggregated Way represents a set of road segments that share a common function or characteristic. It is a line feature class of the NSW Digital Topographic Database ( DTDB), within the Transportation theme. An aggregated way may be a National highway, Road Authority state highway, RTA main road, RTA secondary road, RTA Metroad, RTA on road cycle way, off road cycle way, national route, RTA state route, RTA motor way, RTA A-class route, RTA B-Class and RTA T-way, gazetted walking or riding track. These classifications can be found in “way type” attribute field. Aggregated Way geometries are derived from line features in the Road Segment feature class from the same database. They are aggregations of Aggregated Way Segment features that have the same Way Type, Way Number, Road Name Base, Road Name Type and Road Name Suffix values. A road segment can belong to more than one Aggregated Way. They do not have an implied topology, that is, they are not necessarily connected to other Aggregated Ways, and do not necessarily form a complete network. There is no overall accuracy reported in the database, however accuracy of the individual feature instances of each feature class can be found in the database tables. The currency of the feature instances in this dataset can be found in “feature reliability date” or “attribute reliability date” attributes. All feature instances in this class are attributed with a planimetric accuracy value. It is expected that the 90% of well-defined points with the same planimetric accuracy are within 0.5mm of that map scale. Depending on the capture source, capture method, digital update and control point upgrade, every feature instance reported has a positional accuracy within the range of 1m - 100m. For detailed definitions on all feature classes and attributes, refer to the DTDB Data Dictionary.
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