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This article provides a general overview of techniques that were used to prepare existing fish habitat data sets so they could be transferred into the spatial analysis environment of a vector geographic information system (GIS). By refining the application of “address matching” software tools, a GIS was used to derive a new spatially defined habitat data set that indicated the location along a watercourse that each habitat unit occurred. Address matching (also known as “geocoding”) is an automated process that compares addresses from two data sets for similarity. Typically, one data set has no spatial context (e.g., fish habitat data) and the other has a well defined spatial extent (e.g., a digitized watercourse). If addresses from the different data sets match, then relationships between the data sets can be established. Matched addresses result in the creation of a third data set that can be graphically displayed to show the location of fish habitat units along the watercourse. This newly derived habitat data set can then be manipulated in a GIS setting where it becomes possible to analyze the proximity and condition of habitat units in relation to other features and processes represented in the GIS (e.g., soils, geology, roads, vegetation, et cetera). The basic address data structures necessary for address matching also provide the foundation for conducting a variety of other network analysis involving soils, geology, vegetation, and road data themes. Data sets containing address structures can be used to model movement of such things as sediment, cold water, woody debris, and fish (both upand down-stream) within a watershed unit, enabling assessment of interactive effects of these various themes on habitat quality, distribution, and use by fish.

A technique for moving existing fish habitat data sets into the spatial environment of a vector geographic information system /