Jo Ann M. Gronberg 2012 raster digital data Menlo Park, CA U.S. Geological Survey http://water.usgs.gov/lookup/getspatial?sir2012-5207_co1990g Jo Ann M. Gronberg and Norman E. Spahr, U.S. Geological Survey 2012 U.S. Geological Survey Scientific Investigations Report 2012-5207 Reston, VA U.S. Geological Survey http://pubs.usgs.gov/sir/2012/5207/ This data set is a 30 by 30 meter (m) grid of 1990 counties in the conterminous United States. This dataset is intended as a county base for various applications, such as to create county statistics, or county weighting factors by land use classifications. County weighting factors of selective land classifications are used with quantitative county data to estimate, for instance basin-level pesticide application, fertilizer use, and conservation tillage acres. These data were developed to support hydrologic studies that are part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment (NAWQA) Program. The goal of the NAWQA program is to develop long-term consistent and comparable information on streams, ground water, and aquatic ecosystems to support sound management and policy decisions (Gilliom and others, 1995). This data set was generated from the 1:100,000-scale counties of the United States (U.S. Department of Commerce, U.S. Census Bureau, 1993). The shoreline was defined by the medium-resolution digital vector U.S. shoreline developed by the National Oceanic and Atmospheric Administration (1994) and the NLCDe 92 land cover grids (Nakagaki and others, 2007). Cited References: Gilliom, R.J., Alley, W.M., and Gurtz, M.E., 1995, Design of the National Water-Quality Assessment Program: U.S. Geological Survey Circular 1112, 172 p. Nakagaki, N, Price, C.V., Falcone, J.A., Hitt, K.J., and Ruddy, B.C., 2007, Enhanced National Land Cover Data 1992 (NLCDe 92). Available at http://water.usgs.gov/lookup/getspatial?nlcde92. National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Coast Survey, and the Strategic Environmental Assessments (SEA) Division of the Office of Ocean Resources Conservation and Assessment (ORCA), 1994, NOS80K/ALLUS80K: Medium resolution digital vector U.S. shoreline shapefile. Available at http://woodshole.er.usgs.gov/pubs/of2005-1048/data/basemaps/usa/nos80k/nos80k.htm. U.S. Department of Commerce, U.S. Census Bureau, 1993, 1:100,000-scale counties of the United States. Available at http://water.usgs.gov/lookup/getspatial?county100. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in ArcGIS format, this metadata file may include some ArcGIS-specific terminology. 19900101 Ground condition Complete None planned -128.307900 -65.143599 51.857938 22.736542 None inlandWaters county None Conterminous United States None Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data and related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of this data, software, or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. U.S. Geological Survey Jo Ann M. Gronberg Hydrologist mailing

USGS Pacific Southwest Area

Bldg 15, McKelvey Building

345 Middlefield Road

Menlo Park CA 94025 US 650-329-4423 jmgronbe@usgs.gov http://water.usgs.gov/GIS/browse/sir2012-5207_co1990g.jpg Illustration of data set Portable Document Format (PDF) Naomi Nakagaki, Kerie J. Hitt, and Barbara C. Ruddy provided guidance and technical support during the processing of this data set. Thanks to Donna Knifong and Naomi Nakagaki for reviewing the data set and metadata. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcGIS 10.0.3.3600 Gilliom, R.J., Alley, W.M., and Gurtz, M.E. 19950101 U.S. Geological Survey Circular 1112 Sacramento, California U.S. Geological Survey http://pubs.usgs.gov/circ/circ1112/ Attributes from 1990 counties grid were checked with attributes from the polygon coverage of the 1990 counties. Nothing to report. Hawaii and Alaska are not included in this data set. U.S. Department of Commerce, Bureau of the Census 19930101 vector digital data http://water.usgs.gov/lookup/getspatial?county100 100000 onLine 19900101 Publication date. county100 This data set provided 1990 county boundary delineations and county code (FIPS). National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Coast Survey, and the Strategic Environmental Assessments (SEA) Division of the Office of Ocean Resources Conservation and Assessment (ORCA) 19940101 vector digital data Accessed on 08/24/2005 at: http://coastalmap.marine.usgs.gov/GISdata/basemaps/coastlines/nos80k/allus80k.zip. http://woodshole.er.usgs.gov/pubs/of2005-1048/data/basemaps/usa/nos80k/nos80k.htm 80000 onLine 19880101 19920101 Publication date. allus80k This data set provided shoreline delineations. Nakagaki, Naomi, Price, C.V., Falcone, J.A., Hitt, K.J., and Ruddy, B.C. 20070101 raster digital data http://water.usgs.gov/lookup/getspatial?nlcde92 onLine 1986 1995 This data set primarily represents conditions in the early 1990s, the time period when the majority of the Landsat imagery used to develop the NLCD 92 was captured. The beginning and ending dates above represent the range of acquisition dates for all the Landsat imagery used in the production of the NLCD 92. nlcde 92 This data set provided location of open water from land cover information for the early 1990s. Base is 1:100,000-scale counties of the United States, hereinafter referred to as the "1990s county coverage" (U.S. Department of Commerce, U.S. Census Bureau, 1993). 19930101 Projection of 1990s county coverage changed from horizontal datum NAD27 to NAD83 (Naomi Nakagaki, USGS, written commun., 2005). county100 20030903 U.S. Geological Survey Naomi Nakagaki mailing Sacramento CA 95819 (916) 278-3092 nakagaki@usgs.gov Obtained NOAA shoreline boundary data from http://coastalmap.marine.usgs.gov/GISdata/basemaps/coastlines/nos80k/allus80k.zip. The name of the digital shoreline data (in shapefile format) was "NOS80K/ALLUS80K: Medium Resolution Digital Vector U.S. Shoreline". Data downloaded and processed by K.J. Hitt (USGS, written commun., 2005). A 30-m grid of the shoreline was created from the "NOS80K/ALLUS80K" shapefile: a) Converted shapefile to coverage. arc: shapearc allus80k covgeo b) Cleaned the coverage with small tolerances to preserve the line work. Too many of the arcs collapsed into tiny polygons when cleaning with default parameters. arc: clean covgeo covgeoc1 .0000001 .0000001 c) Defined Geographic projection file. arc: projectdefine cover covgeoc1 d) Projected from Geographic to Albers, using the following projection file (geo83toalb83.prj): INPUT PROJECTION GEOGRAPHIC UNITS DD DATUM NAD83 PARAMETERS OUTPUT PROJECTION ALBERS UNITS METERS DATUM NAD83 PARAMETERS 29 30 00 45 30 00 -96 00 00 23 00 00 0.0 0.0 END arc: project cover covgeoc1 covalbc1 geo83toalb83.prj e) Built polygon topology. arc: build covalbc1 poly f) Created labels. Added VALUE to .pat (in ARCEDIT). arc: createlabels covalbc1 0 g) Edited the polygons so that for all polygons except Great Lakes, VALUE was coded as 2; for Great Lakes, VALUE was coded as 9. arc: ARCEDIT arc: arcedit: editc: COVALBC1 (individual edit processes not shown) h) Re-built polygon topology. arc: build covalbc1 poly i) Converted shoreline coverage to a 30-m grid. arc: grid: Setwindow to county100g county100g arc: grid: Setcell 30 arc: grid: SHORE80K = polygrid(covalbc1,value) /* Below are the dimensions of the 30-m grid of the shoreline. Cell Size = 30.000 Number of Rows = 97278 Number of Columns = 154180 /* Below are the bounding coordinates of the 30-m grid of the shoreline. BOUNDARY: Xmin = -2361585.000 Xmax = 2263815.000 Ymin = 259065.000 Ymax = 3177405.000 allus80k 20050825 /* Created "temp" grid, from "shore80k", by assigning null values to the grid cells located within the Great Lakes arc: grid: setwindow shore80k arc: grid: temp = setnull(shore80k > 8,shore80k) 20050907 /* Created initial 30-m grid of the 1990 counties from 1990 polygon coverage (county100) (Nakagaki, USGS, written commun. 2003) arc: grid: countyg = polygrid (county100,fips) county100 20030903 U.S. Geological Survey Naomi Nakagaki mailing Sacramento CA 95819 (916) 278-3092 nakagaki@usgs.gov /*Using "temp" which was derived from "shore80k" in the previous process step, created "outgrid" by assigning null values to the grid cells on the ocean side of the shoreline. arc: grid: setmask temp arc: grid: outgrid = con(isnull(temp),temp,countyg) /* Using "NLCDe 92", created grid1, grid2, grid3, and grid4, by assigning null values to the grid cells on the ocean side of shoreline AND where nlcde = 11 (open water). This means that the shoreline is bumped out toward the ocean, when nlcde 92 is not open water. This was done to prevent loss of land cover data when it is overlaid with the co1990g. arc: grid: setwindow nlcde1 arc: grid: grid1 = con(isnull(outgrid),con(nlcde1 == 11, outgrid,countyg),countyg) arc: grid: setwindow nlcde2 arc: grid: grid2 = con(isnull(outgrid),con(nlcde2 == 11, outgrid,countyg),countyg) arc: grid: setwindow nlcde3 arc: grid: grid3 = con(isnull(outgrid),con(nlcde3 == 11, outgrid,countyg),countyg) arc: grid: setwindow nlcde4 arc: grid: grid4 = con(isnull(outgrid),con(nlcde4 == 11, outgrid,countyg),countyg) /* Create one grid from the 4 grids arc: grid: co1990g = merge(grid1,grid2,grid3,grid4) /* add attributes to VAT of new 30-m grid arc: additem co1990g.vat co1990g.vat statecty 5 5 i arc: additem co1990g.vat co1990g.vat state 2 2 c arc: additem co1990g.vat co1990g.vat cntyname 23 23 c /* populate attributes in VAT arc: INFO arc info: SEL CO1990G.VAT info: CALC STATECTY = VALUE info: REL CO1990.PAT BY STATECTY info: MOVEITEM $1ST TO STATE info: MOVEITEM $1CNTYNAME TO CNTYNAME county100, allus80k, NLCDe 92 20050907 Checked attributes for non-unique STATE, CNTYNAME combinations. Updated the CNTYNAME in the grid and polygon attributes for the following STATECTY (FIPS county code): 24510: BALTIMORE changed to BALTIMORE CITY 26121: PRESQUE ISLE changed to MUSKEGON 29510: ST LOUIS changed to ST LOUIS CITY 30113: YELLOWSTONE NAT PARK PT changed to YELLOWSTONE NATNL PARK 51515: BEDFORD changed to BEDFORD CITY 51620: FRANKLIN changed to FRANKLIN CITY 51683: MANASSAS changed to MANASSAS CITY 51685: MANASSAS PARK changed to MANASSAS PARK CITY 51760: RICHMOND changed to RICHMOND CITY 51770: ROANOKE changed to ROANOKE CITY 2012 Raster Pixel 98000 154833 NAD 1983 Albers 29.5 45.5 -96.0 23.0 0.0 0.0 coordinate pair 0.0000000037527980722984474 0.0000000037527980722984474 Meter North American Datum of 1983 GRS 1980 6378137.0 298.257222101 co1990g.vat VAT for grid ESRI Rowid Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. VALUE The Federal Information Processing Standards (FIPS) 5-digit code of the county or county equivalent USGS Positive integers FIPS county code USGS Counties and Equivalent Entities of the United States, Its Possessions, and Associated Areas; (Federal Information Processing Standard (FIPS) 6-4): Washington, DC, National Institute of Standards and Technology. U.S. Department of Commerce COUNT Number of cells associated with each county Generated Positive integers Number of cells associated with each VALUE USGS STATECTY The Federal Information Processing Standards (FIPS) 5-digit code of the county or county equivalent USGS Positive integers FIPS county code USGS Counties and Equivalent Entities of the United States, Its Possessions, and Associated Areas; (Federal Information Processing Standard (FIPS) 6-4): Washington, DC, National Institute of Standards and Technology. U.S. Department of Commerce STATE The Federal Information Processing Standards (FIPS) two-character abbreviation for the name of the State or State equivalent in which the county is located. USGS AL-WY FIPS State abbreviation USGS Codes for the Indentification of the States, the District of Columbia and the Outlying Areas of the United States, and Associated Areas; (Federal Information Processing Standard (FIPS) 5-2): Washington, DC, National Institute of Standards and Technology. U.S. Department of Commerce CNTYNAME Short county name USGS alphanumeric County name USGS U.S. Geological Survey Ask USGS -- Water Webserver Team mailing

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Reston VA 20192 1-888-275-8747 (1-888-ASK-USGS) http://water.usgs.gov/user_feedback_form.html Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of these data, software, or related materials. The use of firm, trade, or brand names in this report is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey. The names mentioned in this document may be trademarks or registered trademarks of their respective trademark owners. ArcGIS grid full grid Winzip 62 MBytes http://water.usgs.gov/GIS/dsdl/sir2012-5207_co1990g.zip None. This dataset is provided by the U.S. Geological Survey as a public service. 20120301 U.S. Geological Survey ASK USGS -- Water Webserver Team mailing

445 National Center

Reston VA 20192 1-888-275-8747 (1-888-ASK-USGS) http://answers.usgs.gov/cgi-bin/gsanswers?pemail=h2oteam&subject=GIS+dataset+sir2012-5207_co1990g FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time