2012 Census Ag Atlas Maps
Ag Atlas Maps are available in the following areas for the 2012 Census of Agriculture:
Crops and Plants
Livestock and Animals
Access county-level data and maps, as well as the entire data set, at the Ag Census Web Maps. The web maps correspond to some, but not all of the Ag Atlas static maps.
How the Maps Were Made
Geographic information system (GIS) and desktop publishing technologies were used in the production of maps for this atlas. NASS developed an automated map production system to generate digital map files based on statistical data from the 2012 and 2007 Censuses of Agriculture. The system utilized agricultural statistical data files, geographic area boundary files, land use/cover boundary files, map parameter data files, and customized GIS and statistical software to produce thematic choropleth and dot-density maps. The customized software performed statistical calculations to class the data into categories and to allocate the number of dots for a geographic area. The software also executed other cartographic functions, including: assigning symbology to represent the data; randomly placing dots; creating and positioning map titles, legends and notes; and outputting individual maps to digital image files. Colors for the maps were selected with the assistance of ColorBrewer, an online tool for selecting map color schemes. The color schemes were developed by Dr. Cynthia A. Brewer at Pennsylvania State University.
The U.S. Census Bureau provided a generalized county boundary file and a county-level land area/perimeter data file. NASS modified the county boundary file to show the county-level geographic areas for which agriculture census statistics are reported. The statistical data and geographic areas were identified by Federal Information Processing Standards (FIPS) codes that allowed for a 1-to-1 correspondence between the data and the geographic area. NASS created a new land use/cover boundary file based on NASS’ Primary Sampling Unit (PSU) boundaries. The predominant land use/cover type for each PSU was determined from several sources: a 5-year composite of the NASS Cropland Data Layers for years 2008 – 2012, Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (Earth Resources Observation and Science Center, U.S. Geological Survey, 2008), and Irrigated Lands from Remote Sensing (Mutlu Ozdogan, University of Wisconsin, Center for Sustainability and the Global Environment, 2001). The continental U.S. and Hawaii were mapped at a scale of 1:21,000,000 and Alaska used a map scale of 1:63,000,000. The maps were projected using Albers Equal Area Conic projection.
The choropleth maps portray quantitative data as a color showing the density, percent, or average value of a phenomenon within the boundary of a geographic area. Sequential colors indicate increasing positive/negative data values. For maps showing positive values, light colors represent lower values and dark colors represent higher values. For maps having both positive and negative values, light colors represent mid-range values, while dark colors represent end-range values. Each color represents a range of data values that were determined by classification techniques that grouped ranges of data values into classes. By matching the FIPS codes of the geographic areas to the FIPS codes of the statistical data, each geographic area was assigned a color corresponding to its data value and the data class to which it belonged. GIS software assisted in determining classes and in symbolizing the classed geographic areas. NASS statisticians selected data classes based on how well the classes reflected the data distribution and the assumed preferences of the data users. Geographic areas with non-disclosed data are shown, because a class represents a range of data values rather than a specific data value.
The dot-density maps portray quantitative data as a dot which represents a number of the phenomenon found within the boundary of a geographic area. The pattern of distributed dots reflects the general locations where the phenomenon was most likely to occur. The pattern and number of dots within a geographic area reveal the density of the phenomenon. Two types of dot-density maps are included in the atlas: the first type is a traditional dot map showing the distribution of a phenomenon, and the second type is an increase/decrease dot map showing increasing (positive) and decreasing (negative) data values as they related to the last agricultural census. The traditional dot map symbolizes data with blue dots. The increase/decrease dot map symbolizes data using blue dots for positive data values and red dots for negative data values.
Placement of dots utilized land use/cover files, weighting factors, customized statistical algorithms, and GIS software to allocate and randomly place dots within geographic areas. A land use/cover file is a digital vector file containing 26 land use/cover categories. NASS statisticians assigned weighting factors to each land use/cover category based on the likelihood of a specific type of agricultural activity occurring within a category. The weighted land use/cover files were merged with the geographic area boundary files to produce weighted land use/cover filter files. Customized statistical software used the weighted land use/cover filter files and statistical data files to calculate and assign the number of dots for each weighted land use/cover polygon based on the dot value, polygon size, and assigned weighting factor. GIS software then randomly placed the specified number of dots within each weighted land use/cover polygon. Because dot positions were randomly determined, the dots do not show the actual locations of the phenomena.
The dot value assigned to a dot actually reflects a range of data values. For example, if the legend indicates that one dot equals 500 acres of corn, then in most cases, no dot is placed for county-level geographic areas with data values less than 250 acres of corn, one dot is placed for county-level geographic areas with data values ranging from 250 to 749 acres of corn, two dots are placed for county-level geographic areas with data values ranging from 750 to 1,249 acres of corn, and so on. This methodology can yield an undercount of dots at the state level, so dots are added to the map to reach the calculated state number of dots by including an extra dot for the county-level geographic areas with the largest positive/negative remainder values. For example, if a state has a total of 1,390 corn acres, with county A having 240 acres of corn and county B having 1,150 acres of corn, then normally county A would receive no dots and county B would receive 2 dots, for a total of 2 dots. However, there should be a total of 3 dots shown at the state level. Therefore, an additional dot would be placed in county A, because the remainder in county A (240 - 0 = 240) is greater than the remainder in county B (1,150 - 1,000 = 150). NASS statisticians selected dot values such that widely varying dot densities for different areas are illustrated. Geographic areas with non-disclosed data are shown because a dot represents a range of data values rather than a specific data value.
Cartographic Boundary Files
The cartographic boundary files are generalized, digital vector files of state- and county-level geographic areas for which 2012 Census of Agriculture data are reported. The cartographic boundary files can be used with Geographic Information System (GIS) software as a base for medium to small-scale thematic mapping.
These boundary files are not map images. They were developed to support USDA-NASS projects involving map production for the 2012 Agricultural Atlas of the United States.
The cartographic boundary files on this site are in ESRI™ shapefile format.
States only - Download Boundary ZIP file, view metadata
Counties only - Download Boundary ZIP file, view metadata
States and counties - Download Boundary ZIP file, (for metadata refer to states/counties metadata)