An editing procedure to ensure that all features that cross adjacent map sheets have the same edge locations. Links are used to connect the locations in one coverage to the locations of the matching features in the adjacent coverage.
Edge matching is simply the procedure to adjust the position of features that extend across typical map sheet boundaries. Theoretically data from adjacent map sheets should meet precisely at map edges.
Edge Matching is an important part of the creation of a digital map or GIS database. One digital map may encompass many paper maps.
When side-by-side map layers are retrieved and displayed, they might not line up well with each other (see Figure 3.11 below). Edge matching adjusts the location of features that extend across one map's boundaries into another.
Edge matching is a procedure to adjust the position of features extending across map sheet boundaries. This function ensures that all features that cross adjacent map sheets have the same edge locations.
Edge matching: DEM datasets within a project area (consisting of a number of adjacent files) are edge matched to assure terrain surface continuity between files. Edge matching is the process of correcting adjacent elevation values along common edges.
Map cleanup function that allows for distortion between adjacent maps to produce a true match of features at the edges of maps.
Edge matching - The process of matching corresponding features across map boundaries. This is a prerequisite for using multiple digital maps in geographic data processing and analysis.
Edge Matching: The process of ensuring that data along the adjacent edges of map sheets or some other unit of storage, matches in both positional and attribute terms.
Route-system features and event-handling commands provide the dynamic segmentation capability within ARC/INFO.
edge matchingAn editing procedure to ensure that all features that cross adjacent map sheets have the same edge locations.
[LINK] Each scale reduction required edge matching, or paneling, of the larger scale maps to produce the next small scale map.
Transformation of projections and coordinate systems, edge matching
Spatial retrieval, windowing, selection
Distance, proximity, networking, buffering
Overlays and merging
Modeling, scenario building ...
Data corrections were made in the NED assembly process to minimize artifacts, permit edge matching, and fill sliver areas of missing data. This focus piece explores the who, what and where of the NED.
Aronoff (1989) described seven maintenance and analysis functions for spatial data: format transformation, geometric transformation, transformation between map projections, conflation, edge matching, editing of graphic elements, ...
More LSQR interpolations would probably have helped in this case. However, the edge matching problem highlights a key weakness of the interpolative approach taken up until now, which prompted me to add a different patching strategy to BLACKART.
See also: Edge, Map, Information, Model, Geographic