15.2.22. XSD Miscellaneous data types

发布时间 :2025-10-25 12:23:26 UTC      

Other miscellaneous data types include Boolean, base64Binary, hexadecimal, floating point, double, anyURI, anyURI, and NOTATION.

Boolean data type (Boolean Data Type)

Boolean data properties are used to specify true or false values.

Here is an example of a logical declaration in a scheme:

<xs:attribute name="disabled" type="xs:boolean"/>

The elements in the document should look like this:

<prize disabled="true">999</prize>

注意: Legal Boolean values are true, false, 1 (for true), and 0 (for false).

Binary data type (Binary Data Types)

Binary data types are used to express data in binary form.

We can use two binary data types:

  • Base64Binary (Base64 encoded binary data)

  • HexBinary (hexadecimal encoded binary data)

Here is an example of a hexBinary declaration in a scheme:

<xs:element name="blobsrc" type="xs:hexBinary"/>

AnyURI data type (AnyURI Data Type)

The anyURI data type is used to specify URI.

Here is an example of an anyURI declaration in a scheme:

<xs:attribute name="src" type="xs:anyURI"/>

The elements in the document should look like this:

<pic src="http://www.w3schools.com/images/smiley.gif" />

注意: If a URI contains spaces, replace them with% 20.

Miscellaneous data types

Name

Description

AnyURI

Base64Binary

Boolean

Double

Float

HexBinary

NOTATION

QName

Qualification of miscellaneous data types (Restriction)

Restrictions that can be used with miscellaneous data types:

  • Enumeration (this constraint cannot be used by Boolean data types * )

  • Length (this constraint cannot be used by Boolean data types)

  • MaxLength (this constraint cannot be used by Boolean data types)

  • MinLength (this constraint cannot be used by Boolean data types)

  • Pattern

  • WhiteSpace

* translator’s note: constraint refers to constraint.

Principles, Technologies, and Methods of Geographic Information Systems  102

In recent years, Geographic Information Systems (GIS) have undergone rapid development in both theoretical and practical dimensions. GIS has been widely applied for modeling and decision-making support across various fields such as urban management, regional planning, and environmental remediation, establishing geographic information as a vital component of the information era. The introduction of the “Digital Earth” concept has further accelerated the advancement of GIS, which serves as its technical foundation. Concurrently, scholars have been dedicated to theoretical research in areas like spatial cognition, spatial data uncertainty, and the formalization of spatial relationships. This reflects the dual nature of GIS as both an applied technology and an academic discipline, with the two aspects forming a mutually reinforcing cycle of progress.