Mapping Toolbox    

The Geographic Data Structure

In the previous examples, all of the map data was in the form of individual variables and had to be displayed using different mapping commands according to the type of data at hand (i.e., line, patch, matrix, text, etc.). The Mapping Toolbox also provides an easy means of displaying, extracting, and manipulating collections of all types of map objects that have been organized in a specially defined and formatted geographic data structure. Note that this structure is different from the map projection structure, which defines a map projection along with its mapping properties. The geographic data structure contains the information required for the proper display of the graphic object. The following table lists the six object types along with their required fields of information:

fields
light
line
patch
regular
surface
text
type






tag






lat






long






map






maplegend






meshgrat






string






altitude






otherproperty






Some fields may contain empty entries, but the fields themselves must exist for the object to be displayed correctly. For instance, the altitude field can be an empty matrix and otherproperty can be an empty cell array. The tag field must be a string not equal to the name of the object type (i.e., line, surface, text, etc.). For complete descriptions of these fields and the object types, consult the geographic data structure reference page in the online Mapping Toolbox reference documentation.

The usalo workspace contains several variables in the geographic data structure format:

The structure conus contains a patch object of the continental U.S.; greatlakes consists of three patches representing the Great Lakes, and the structure stateborder contains line vector data for the state boundaries.

These can be displayed with the displaym function:

The map shown here is virtually identical to that of a previous example in which the vector variables uslat, uslon, gtlakelat, gtlakelon, statelat, and statelon were used:


Now display all 50 states and the District of Columbia using the patches located in the geographic data structure variable state:

Here is the map in a Trystan Edwards Cylindrical projection:

To view individual states that reside in the state structure, you can either use the displaym function:

Or you can extract and display the data from the formatted structure yourself:


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