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Playa Clusters were determined through spatial analysis of the Probable Playas layer <\/SPAN>(Probable_Playas_v4.shp, released by Playa Lakes Joint Venture) which depicts playas as identified through a compilation of six data sources: SSURGO soils data, National Wetlands Inventory (NWI) data, National Hydrography Dataset (NHD), analysis of Landsat TM imagery, analysis of National Agricultural Imagery Program (NAIP) imagery, and hand-delineation on aerial maps of select lands managed by The Nature Conservancy. Data source varies across the layer's extent so please refer to the [Source] field in the attribute table to identify the source of any individual playa or refer to the Supplemental Information section below for a summary of sources by state. The following data characteristics vary by source: data quality, attribute information, dates of acquisition and publication, and minimum mapping units (MMU). Please read the DATA SOURCES section below for details. **IMPORTANT NOTES: The number of features in this dataset (n=89,798) is does NOT represent the number of playas, rather the number of polygons representing playas, whole or partial. This occurs because NWI coverage often maps a single playa as multiple adjacent or nested polygons (e.g., a PEMC polygon exists within a PEMA polygon -- 2 polygons representing one playa). The [PPv4_ID] field contains unique identifiers for adjacent/nested polygons that represent a playa (e.g., nested polygons). In other words, the nested polygons have the same [PPV4_ID] value because they clearly represent a single playa. HOWEVER, if a playa is bisected by a road and is mapped as two or more separate, non-adjacent polygons, the [PPv4_ID] values are different for the polygons. Please explore NWI playas in this dataset to view examples of NWI playa delineation. ***Please see SUPPLEMENTAL INFORMATION for critical information on how to use/interpret these data.<\/SPAN><\/P>

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