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
Differences between GfK and Traditional Map Data Sets
This section covers the differences between the traditional
and the GfK map data sets, and the benefits of using the GfK data.
Usually, you cannot simply replace a traditional map data set in
your existing code with the GfK map data set. You must carefully review
the map libraries, the map data set filenames, and the variables
that they contain. There are also notable projection differences.
For example, that the X and Y variables
are always projected in the GfK map data sets. All the details are
described next.
New License Information
SAS supplies both traditional
and GfK map data sets. SAS has licensed the vector-based map data
sets representing the world from GfK GeoMarketing GmbH. These map
data sets are to be used only with SAS/GRAPH for your internal business
purposes.
Anyone with specialized
map needs can license map data directly from GfK GeoMarketing GmbH.
They can be assured that their map data will match up with the map
data provided with SAS/GRAPH.
The map data sets in
library MAPSGFK are based on the digital, vector-based maps from GfK
GeoMarketing GmbH and are covered by their copyright. For additional
information, see http://support.sas.com/mapsonline/gfklicense.
Advantages to Using GfK Map Data Sets
| Consistency | Licensing the map data from GfK GeoMarketing GmbH
provides a single source for map data. This single source ensures
that the map data is accurate and uniform for the entire world. Additional
map data obtained from GfK GeoMarketing GmbH will match up seamlessly
with |
| Single-source updates | GfK GeoMarketing GmbH will be solely responsible for all updates and changes to their map data. This includes political boundary updates, which were up to this time hard to obtain. SAS offers the ability to download the updates to map data via SAS Maps Online (http://support.sas.com/rnd/datavisualization/mapsonline/index.html). |
| Ease-of-Use | SAS converts the GfK map data into a SAS map data set format to avoid unnecessary special processing. |
New Library Names
Both the library reference (libref) MAPSGFK and MAPSSAS
are set during system configuration and cannot be changed. Use the
MAPS= system option within SAS to point to either the GfK map data
set library MAPSGFK or the traditional map data set library MAPSSAS.
MAPS points to the MAPSSAS library by default.
New Map Data Set Names
This section describes
the differences found when comparing the GfK map data set names to
the traditional map data set names.
GfK map data sets have
longer names than the traditional map data sets. That is because they
are not truncated. The names can exceed eight characters. For example,
compare the traditional map data set name of
AFGHANIS to
the GFK map data set name of AFGHANISTAN.
The GfK map data sets
also provide a consistent naming convention. For example, compare
the traditional map data set name of
STATES,
which could correlate to any country with states, to the GFK map data
set name of US_STATES.
GfK includes new map
data sets such as CAYMAN_ISLANDS and the Nomenclature of Territorial
Units for Statistics (NUTS) level 0,1,2,3 data sets for Europe. The
NUTS classification is a hierarchical system for dividing up the economic
territory of the European Union (EU). An example is the data set named
EUROPENUTS3.
Same-named data sets
differentiated with numeric qualifiers, such as EUROPE, EUROPE1, and
EUROPE2 indicate the level of administrative detail. For example,
EUROPE1 indicates countries on the European continent with 1st administrative
level – similar to US states.
Each GfK map data set
now has a companion data set with a _ATTR qualifier.
For example, the data set AFRICA_ATTR contains extra variables.
GfK data sets, where
applicable, include an _ALL qualifier.
These map data sets contain all the territories and islands. For example,
compare the traditional map data set US that
contains Puerto Rico with the GfK map data set of the same name, which
does not contain Puerto Rico. You must use the GfK map data set US_ALL to
include Puerto Rico.
In the WORLD map
data set (MAPSGFK.WORLD), the disputed territories are not included
with individual countries but rather are identified with the variable ISOALPHA2 and
a value of NN. They are
also identified by the ID variable
values that differ from the ISOAPLPHA2 variable value. Take for example
the ID values of the disputed territories between the following countries
or states:
Correlations between Map Data Sets and Data Sets
The information from
some traditional map data sets has been combined in the GfK map data
sets. Other map data sets and data sets have remained the same. For
example, the map data set US maintains
the same name between traditional and GfK. The following table lists
noteworthy correlations:
Note: The map data that was contained
in traditional map data sets COUNTIES, COUNTY,
and USCOUNTY is now combined
in the one map data set US_COUNTIES.
New and Changed Variables
Eliminated Variables
Data Changes
The data changes encompassed
in the GfK map data sets include various variables. The changes are
detailed in this section.
The RESOLUTION variable
reduces the points for the display size of a map as indicated in the
following table:
RESOLUTION Variable Values
The traditional STATE variable
is represented as ID1 in
GfK map data sets such as US_COUNTIES.
For example, a STATE value
of 51 is represented by ID1 as 84051. ID1 concatenates
the country code with the state code.
The traditional COUNTY variable
is represented as ID in
GfK map data sets such as US_COUNTIES.
For example, a COUNTY value
of 15 is represented by ID as 84051015. ID concatenates
the country code, the state code, and the county code.
The LAT and LONG variable
values in the GfK map data sets are always unprojected degrees (not
radians).
The identification variables,
for example ID and ID1, are character instead of numeric in the GfK
map data sets.
GfK map data is provided
in UTF-8 Unicode encoding with the exception of the MAPSGFK.WORLD_CITIES
map data set.
GfK map data contained
in the map data sets are projected using appropriate projection methods.
For example, the data set MAPSGFK.US represents a relatively small
map area that is near neither pole. These factors make it possible
to project data without distortion using the Albers method. The LABEL column
in each data set should identify the projection algorithm used for
the X and Y variables. Use the CONTENTS procedure to view columns
in a map data set. To view columns in the map data set named MAPSGFK.US,
run the following code:
proc contents data=mapsgfk.us; run;
Compatibility Information
Substituting the GfK
map data sets into an existing application that currently uses the
traditional map data sets requires modifications to the application.
Without these modifications, using the GfK map data could cause unexpected
results. For example, the GfK map data set names should not be substituted
into your existing code‘s DATA= statement without some additional
considerations. Please refer to Migration Information for tips on converting your existing map-producing code.
Migration Information
When using the GfK map
data sets, be aware of the following:
Refer to Reworking Code That Uses Traditional Map Data Sets for information
and tips.