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The simplest (and fastest) way to determine class inclusion with MapServer is to use a string comparison. You use the layer-level keyword CLASSITEM to identify the name of the attribute that will be used to classify the features. Then, using the class-level keyword EXPRESSION, you specify the comparison string. It s good practice to quote the string to ensure that characters are correctly interpreted. This is shown in the code snippet that follows. The CLASSITEM attribute of every feature in the data set will be compared with the value of the EXPRESSION string. If the EXPRESSION string matches the CLASSITEM value identically, that feature will be included in the class. Although fast and easy to use, this method isn t very powerful, since the string specified by EXPRESSION must match the value of the attribute identified by CLASSITEM exactly. CLASSITEM "NAME" CLASS NAME "City" EXPRESSION "Seattle" END If you wish to select features based on more complicated matching criteria (but still use only the value contained in the feature specified by CLASSITEM), you must use regular expressions. This, however, is an involved topic and is beyond the scope of this book. Refer to any standard Unix text or guide (or consult the man pages at www.rt.com/man) for a description of regular expression syntax. Regular expressions must be delimited by forward slashes (/). As with string comparisons, the regular expressions specified by the keyword EXPRESSION are compared to the value of the CLASSITEM attribute, and included in the class if a match is found. The specification



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Open a PDF file containing a scanned image in Acrobat. Click on the Edit PDF tool in the right pane. Acrobat automatically applies optical character recognition (OCR) to your document and converts it to a fully editable copy of your PDF. Click the text element you wish to edit and start typing.

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of matching criteria by means of regular expressions is very flexible, but it s still limited to matching the value of a single attribute For example, the following code CLASSITEM "Feature" CLASS NAME "interstates" EXPRESSION /^Limited Access/ END will select from a data set those features for which the value of the TYPE attribute begins with the string Limited Access The need to do this might arise, for example, if road types that are part of an interstate highway system are identified by strings like Limited Access Highway, Limited Access Highway Alternate Route, or Limited Access Highway Business Route (Remember that the metadata associated with spatial data sets is designed to be readable by humans, and therefore attribute values are often more complicated than simple alphanumeric codes) Logical expressions allow for more complex classification of features that are based on the values of one or more attributes.

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No CLASSITEM need be specified (and in fact, will be ignored if present) The keyword EXPRESSION introduces the logical expression, which is delimited by parentheses The syntax is straightforward: a logical expression consists of an attribute name enclosed in square brackets, a comparison operator, and a value Table 4-1 shows the comparison operators available For example, the following code compares the value of the numeric attribute POPULATION with the numeric value 100000: EXPRESSION ( [POPULATION] < 100000 ) It will include a feature only if the value of its POPULATION attribute is less than 100,000 Like C and Perl, MapServer uses different operators to compare strings than it does to compare numbers, and you must take care to observe the difference If an attribute is string valued, then its reference must be enclosed in quotes, as must the comparison value.

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Single or double will do, as long as they re properly balanced Consider the following code: EXPRESSION ( '[STATE_FIPS]' eq 'MN' ) This will include a feature only if the value of attribute STATE_FIPS is equal to the string MN Logical expressions can be combined using the conjunction and disjunction operators and and or Consider also the following example: EXPRESSION (( [POPULATION] < 100000 ) and ( '[STATE_FIPS]' eq 'MN' )) This will match features for which POPULATION is less than 100000 and STATE_FIPS is equal to MN..

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