{ "currentVersion": 10.91, "id": 39, "name": "Map Index", "type": "Feature Layer", "description": "These data describe the spatial boundaries that define sub-areas in kelp bed mapping. The purpose of the sub-areas is to subdivide the study area into smaller units for analysis. Boundaries are primarily based on geographic features, such as headlands. Map index areas are used to track the abundance, species composition and distribution of of floating kelp beds (Nereocystis luetkeana and Macrocystis pyrifera) along the Strait of Juan de Fuca and outer coast of Washington State. These data are part of a long term monitoring effort that surveys kelp canopies in this area annually. The entire data set is comprised of the following components: yearly inventory feature classes from 1989 through 2012, excluding 1993 (kelpYYYY), a combined inventory from all years (kelp1989_2012), a spatial index delineating the geographic extent of monitoring sub-areas (map_index) and tabular data describing kelp characteristics for each year that link to the spatial index (summaryYYYY, summary1989_2012). Polygons represent bed extent or planimeter, which include the kelp canopy floating on the surface and small gaps between plants (25 meter threshold for delineating discrete beds). Users who wish to use the most precise inventory estimates should use the tables (summaryYYYY) which summarize kelp canopy area by map_index. The tabular estimates are more precise because they are based on the source imagery, while the area estimates in the feature classes reflect subsequent processing. While the tabular data provides more detailed attribute information, it is limited in that the attributes are summarized for each map_index number (which corresponds to a stretch of shoreline). The tabular data is related to the spatial data using the map_index column. The total planimeter area of a kelp bed as calculated directly in the kelp polygon feature classes (kelpYYYY) is slightly different from the total planimeter area reported in the annual tabular summary tables (summaryYYYY). These differences are expected because the area estimates in the shape files reflect subsequent processing.", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": { "wkid": 2927, "latestWkid": 2927 }, "copyrightText": "This dataset is primarily funded and managed by Washington State Department of Natural Resources, through the Nearshore Habitat Program. 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