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SeerMapper (version 1.2.5)

rg99_d00: U. S. 2000 or 2010 Census Regional Boundary Definitions

Description

This dataset contains the boundary data for the 4 U. S. 2000 or 2010 Census Regions for use by the NCI SeerMapper package.

Usage

data(rg99_d00)

Arguments

Format

This dataset contain a single SpatialPolygonsDataFrame type object that contains the boundary polygon definitions for the 5 U. S. Census Regions for the year 2000 or 2010 and an extra region covering Alaska, Hawaii and Puerto Rico. The U. S. Census website defines the continental regions with values of 1 through 4 as NorthEast, South, MidWest and West. The states of Alaska, Hawaii, and the territory of Puerto Rico were assign regional values of 0, effectively a 5th region - offshore. The regional boundary data is the same for both the 2000 and 2010 census. This dataset maintains the codes as published by the U. S. Census Buearu. The regions are keyed using the U. S. 2000 or 2010 Census region codes based on which package being used. The SeerMapper package supports the 2000 and 2010 boundaries. Only one dataset is required: rg99_d00.

Details

  The U. S. 2000 and 2010 Census Region codes:
      0 - Offshore
      1 - NorthEast
      2 - South
      3 - MidWest
      4 - West

The U. S. States/Terr. in the Offshore region (code = 0) are" 02 - Alaska 15 - Hawaii 72 - Puerto Rico

The U. S. States in the NorthEast region (code = 1) are: FIPS Name 09 - Connecticut 23 - Maine 25 - Massachusetts 33 - New Hampshire 34 - New Jersey 36 - New York 42 - Pennsylvania 44 - Rhode Island 50 - Vermont

The U. S. States in the South region (code = 2) are: FIPS Name 01 - Alabama 04 - Arkansas 10 - Delaware 11 - District of Columbia 12 - Florida 13 - Georgia 21 - Kentucky 22 - Louisiana 24 - Maryland 28 - Mississippi 37 - North Carolina 40 - Oklahoma 45 - South Carolina 47 - Tennessee 48 - Texas 51 - Virginia 54 - West Virginia

The U. S. States in the Midwest region (code = 3) are: 17 - Illinois 18 - Indiana 19 - Iowa 20 - Kansas 26 - Michigan 27 - Minnesota 29 - Missouri 31 - Nebraska 38 - North Dakota 39 - Ohio 46 - South Dakota 55 - Wisconsin

The U. S. States in the West region (code = 4) are: 06 - California 08 - Colorado 16 - Idaho 30 - Montana 32 - Nevada 35 - New Mexico 41 - Oregon 49 - Utah 53 - Washington 56 - Wyoming

As of Version 1.0 of the SeerMapper package, The ".rda" datasets are compressed using the "xz" method to reduce the disk space requirements.

The region boundary data was created from the state boundary data used in this package to ensure the borders lined up. The state boundary data was created from county and census tract boundary data processed by "www.MapShaper.org" website version 01.15 using modified Visvalingam method with intersection repair enabled and prevent shape removal enabled and simplified to 13 while maintaining a visually usable boundary image and edge alignments.

The PROJ.4 projection used for these boundaries is:

"+proj=aea +lat_1=33 +lat_2=49 +lat_0=39 +lon_0=96W +ellps=WGS84"

The dataset provide a good functional characterization of the 5 regions.

The @data structure of the saved SpatialPolygonsDataFrame contains the following information for use by the SeerMapper function:

row.names

a character vector of the region number (0-4)

ID

a character vector of the region number (0-4). Save as the row.names of the SPDF

rgID

a character vector containing the 1 digit U. S. region number from the U. S. 2000 or 2010 census state boundary datasets. (0 to 4) This field is also used as the row.names for the SpatialPolygons.

rgName

a character vector containing the region name.

tracts00

an integer value of the number of census tracts in the region for the census year 2000.

tracts10

an integer value of the number of census tracts in the region for the census year 2010.

county00

an integer value of the number of counties in the region for the census year 2000.

county10

an integer value of the number of counties in the region for the census year 2010.

states

an integer value of the number of states in the region for both the census years.

Examples

Run this code
# NOT RUN {
data(rg99_d00)
# }

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