The 20 U. S. Seer registries are the accepted registries as of January 2010 funded by NCI.
The Seer Registries border group contains 20 Seer Registry sub-areas. Each registry has a row in the ]varareaNamesAbbrsIDs data.frame and a set of polygons in the areaVisBorders data.frame datasets.
Regions are defined in this border group as the 4 census regions in the U. S. The regions feature is enable. The four census regions are: NorthEast, South, MidWest, and West. The states and Seer registries in each region are:
state | Seer Registries |
region | Alabama |
|
South |
Alaska | Alaska Natives |
West | Arizona |
Arizona Natives | West |
Arkansas | |
South | California |
California-LA, | West |
California-Other, | |
California-SF, | |
California-SJ | |
Colorado | |
|
West |
Connecticut | Connecticut |
NorthEast | Delaware |
|
South |
District of Columbia | |
South | Florida |
|
South |
Georgia | Georgia-Atlanta, |
South | |
Georgia-Other, | |
Georgia-Rural | |
Hawaii | |
Hawaii | West |
Idaho | |
West | Illinois |
|
MidWest |
Indiana | |
MidWest | Iowa |
Iowa | MidWest |
Kansas | |
MidWest | Kentucky |
Kentucky | South |
Louisiana | Louisiana |
South | Maine |
|
NorthEast |
Maryland | |
South | Massachusetts |
|
NorthEast |
Michigan | Michigan-Detroit |
MidWest | Minnesota |
|
MidWest |
Mississippi | |
South | Missouri |
|
MidWest |
Montana | |
West | Nebraska |
|
MidWest |
Nevada | |
West | New Hampshire |
|
NorthEast |
New Jersey | New Jersey |
NorthEast | New Mexico |
New Mexico | West |
New York | |
NorthEast | North Carolina |
|
South |
North Dakota | |
MidWest | Ohio |
|
MidWest |
Oklahoma | Oklahoma-Cherokee |
South | Oregon |
|
West |
Pennsylvania | |
NorthEast | Rhode Island |
|
NorthEast |
South Carolina | |
South | South Dakota |
|
MidWest |
Tennessee | |
South | Texas |
|
South |
Utah | Utah |
West | Vermont |
|
NorthEast |
Virginia | |
South | Washington |
Washington-Seattle | South |
West Virginia | |
South | Wisconsin |
|
MidWest |
Wyoming | |
West | state |
The L3VisBorders dataset contains the outline of the United States.
The details on each of these data.frame structures can be found in
the "bordGrp" section of this document. The areaNamesAbbrsIDs
data.frame provides the linkages to the boundary data for each
sub-area (registry) using the fullname, abbreviation, and numerical
identifier for each country to the
A column or the data.frame row.names must match one of the types of names in the areaNamesAbbrsIDs data.frame name table. If the data row does not match a value in the name table, an warning is issued and the data is ignored. If no data is present for a sub-area (registry) in the name table, the sub-area (registry) is mapped but not colored.
The following are a list of the names, abbreviations, alias and IDs for each country in the USSeerBG border group.
Name | ab | alias string | id | counties |
region | Alaska Natives | AK-NAT | ALASKA NATIVES | 18 |
all | West | Arizona Natives | AZ-NAT | ARIZONA NATIVES |
20 | all | West | California-LA | CA-LA |
LOS ANGELES | 4 | Los Angeles | West | California-SF |
CA-SF | SAN FRANCISCO | 2 | Alameda, | West |
Contra Costa, | ||||
Marin, | ||||
San Francisco, | ||||
San Mateo | California-SJ | |||
CA-SJ | SAN JOSE | 3 | Montersey | West |
San Benito, | ||||
Santa Clara, | ||||
Santa Cruz | California-Other | CA-OTH | ||
CALIFORNIA EXCLUDING | 5 | all other counties | West | Connecticut |
CT | CONNECTICUT | 1 | all | NorthEast |
Georgia-Atlanta | GA-ATL | ATLANTA | 6 | Clayton, Cobb, DeKalb, |
South | ||||
Fulton, Gwinnett | Georgia-Rural | GA-RUR | RURAL GEORGIA | |
8 | Glascock, Greene, Hancock, | South | ||
Jasper, Jefferson, Morgan, | ||||
Putnam, Taliaferro, Warren, | ||||
Washington | ||||
Georgia-Other | GA-OTH | GREATER GEORGIA | 7 | |
all other counties | South | Hawaii | HI | HAWAII |
9 | all | West | Iowa | IA |
IOWA | 10 | all | MidWest | Kentucky |
KY | KENTUCKY | 14 | all | South |
Michigan-Detroit | MI-DET | DETROIT | 15 | Macomb, |
MidWest | ||||
Oakland, | ||||
Wayne | New Jersey | NJ | ||
NEW JERSEY | 11 | all | NorthEast | New Mexico |
NM | NEW MEXICO | 12 | all | West |
Oklahoma-Cherokee | OK-CHE | OKLAHOMA | 19 | Adair, |
South | ||||
Cherokee, | ||||
Craig, | ||||
Delaware, | ||||
Mayes, | ||||
McIntosh, | ||||
Muskogee, | ||||
Nowata, | ||||
Ottawa, | ||||
Rogers, | ||||
Seqouyah, | ||||
Tulsa, | ||||
Wagnorer, | ||||
Washington | Utah | |||
UT | UTAH | 16 | all | West |
Washington-Seattle | WA-SEA | SEATTLE | 17 | Clallam, |
South | ||||
Grays Harbor, | ||||
Island, | ||||
Jefferson, | ||||
King, | ||||
Kitsap, | ||||
Mason, | ||||
Pierce, | ||||
San Juan, | ||||
Skagit, | ||||
Snohomish, | ||||
Thurston, | ||||
Whatcom | Name | ab |
The rowNames = alias and the regions = TRUE features are enabled in the USSeerBG border group.
The alias option is designed to allow the package to match the registry labels created by the Seer Stat website when exporting Seer data for analysis. The alias match is a "contains" match, so the registry field in the user data must "contain" the "alias" values listed in the above table. To help generalize the match, the user's registry value is stripped of any punctuation, control characters and multiple spaces (blanks, tabs, cr, lf) are reduced to a single blank and the string is converted to all upper case. Then the wild card match is performed.
The dataRegionOnly call parameter (when set to TRUE) instructs the package to only map the regions with Seer registers with data. The regions used are the four census regions: NorthEast, South, MidWest and West. The RegVisBorders data.frame contains the outline of each of these regions. For example: if Seer registry data is provided for the only the New Mexico, Utah and California Registries in the West region, then only the states and regional boundary for the West region are drawn.
The USSeerBG border group does not contain or support an alternate set of abbreviations. If rowNames is set to alt_ab, an warning is generated and the standard Seer registry abbreviations are used.
The following steps should be used to export data for micromapST's use from the SEER*Stat Website:
To read the resulting text file into R use the read.delim
function with header = TRUE.
Follow the read.delim
call with a str
function to verify the data was read correctly.
dataT <- read.delim("c:\datadir\seerstat.txt",header=FALSE) str(dataT)