GMAP Procedure
- Syntax
- Overview
- Concepts About Map Data SetsAbout GfK GeoMarketing Map Data SetsAbout Traditional Map Data SetsMap Data Sets Containing X, Y, LONG, and LATDifferences between GfK and Traditional Map Data Sets The METAMAPS Data SetSpecial GfK Data Sets for Annotating MapsSpecial Traditional Data Sets for Annotating MapsAbout Response Data SetsAbout Identification VariablesDisplaying Map Areas and Response DataSummary of UseAccessing SAS Maps OnlineImporting Maps from Esri Shapefiles
- Using
- Examples Using GfK GeoMarketing Map Data to Produce a Simple Block MapUsing Traditional Map Data to Produce a Simple Block MapUsing GfK GeoMarketing Map Data to Specify Response Levels in a Block MapUsing Traditional Map Data to Specify Response Levels in a Block MapUsing GfK GeoMarketing Map Data to Assign a Format to the Response VariableUsing Traditional Map Data to Assign a Format to the Response VariableUsing GfK GeoMarketing Map Data When Specifying the Statistic for the Response VariableUsing Traditional Map Data When Specifying the Statistic for the Response VariableUsing GfK GeoMarketing Map Data to Produce a Simple Choropleth MapUsing Traditional Map Data to Produce a Simple Choropleth MapUsing GfK GeoMarketing Map Data When Labelling Provinces on a MapUsing Traditional Map Data When Labelling Provinces on a MapUsing GfK GeoMarketing Map Data to Produce a Simple Prism MapUsing Traditional Map Data to Produce a Simple Prism MapUsing GfK GeoMarketing Map Data When Specifying Midpoints in a Prism MapUsing Traditional Map Data When Specifying Midpoints in a Prism MapUsing GfK GeoMarketing Map Data to Produce a Simple Surface MapUsing Traditional Map Data to Produce a Simple Surface MapUsing GfK GeoMarketing Map Data While Rotating and Tilting a Surface MapUsing Traditional Map Data While Rotating and Tilting a Surface MapMapping an Individual Country By Subsetting MAPS.WORLDUsing GfK GeoMarketing Map Data to Specify Country Subdivisions on a ContinentUsing GfK GeoMarketing Map Data to Produce a Choropleth Map Combining Three Map Data SetsUsing GfK GeoMarketing Map Data to Produce a Choropleth Map Annotating Cities
Special GfK Data Sets for Annotating Maps
There are several data sets in the MAPSGFK library that
enable you to easily label maps. Some of their names differ from any
traditional data sets that you might have used. Though the non-map
data sets contain coordinates for map features such as cities, they
cannot be used as map data sets.
contains the coordinates
of the visual center of each state in the U.S. and Washington, D.C.,
Puerto Rico, and the U.S. Virgin Islands. It also contains coordinates
in the ocean for states that are too small to contain a label. There
are two pairs of variables for locating labels using Annotate data
sets. The X and Y variables contain projected coordinates and can
be used with the MAPSGFK.US_ALL data set. The LONG and LAT variables
contain the unprojected longitude and latitude in degrees (not radians).
These can be used to place labels on any US data set, noting that
you can subset the data set by state as needed.
is similar to USCENTER_ALL,
except that it does not include Puerto Rico and the U.S. Virgin Islands.
The X and Y variables contain projected coordinates and can be used
with the MAPSGFK.US data set.
contains the locations
of selected cities in the U.S. Many city names occur in more than
one state, so you might have to subset by state to avoid duplication.
There are two pairs of variables for locating labels using Annotate
data sets. The X and Y variables contain projected coordinates and
can be used with the MAPSGFK.US_ALL data set. The LONG and LAT variables
contain the unprojected longitude and latitude in degrees (not radians).
These can be used to place labels on any US data set, noting that
you can subset the data set by state as needed.
contains a projected
US county map with Alaska and Hawaii in physical locations. Puerto
Rico is not included. Many county names occur in more than one state,
so you might have to subset by state to avoid duplication. The LONG
and LAT variables contain the unprojected longitude and latitude in
degrees (not radians). These can be used to place labels on any US
data set, noting that you can subset the data set by state as needed.
contains a projected
US state map with Alaska and Hawaii in physical locations. Puerto
Rico is not included. The LONG and LAT variables contain the unprojected
longitude and latitude in degrees (not radians). These can be used
to place labels on any US data set, noting that you can subset the
data set by state as needed.
contains a projected
US county map with Alaska and Hawaii in physical locations. Puerto
Rico and the United States Virgin Islands are included. Many county
names occur in more than one state, so you might have to subset by
state to avoid duplication. The LONG and LAT variables contain the
unprojected longitude and latitude in degrees (not radians). These
can be used to place labels on any US data set, noting that you can
subset the data set by state as needed.