sup

<div xmlns="http://www.w3.org/1999/xhtml">
  <h3>Superscript</h3>
</div>

Element Information

Model

Attributes

QName Type Fixed Default Use Inheritable Annotation
arrange restriction of xsd:NMTOKEN optional
id xsd:ID optional
specific-use xsd:string optional
xml:base xs:anyURI optional
<div>
  <h3>base (as an attribute name)</h3>
  <p>denotes an attribute whose value provides a URI to be used as the base for interpreting any relative URIs in the scope of the element on which it appears; its value is inherited. This name is reserved by virtue of its definition in the XML Base specification.</p>
  <p>See
    <a href="http://www.w3.org/TR/xmlbase/">http://www.w3.org/TR/xmlbase/</a>for information about this attribute.</p>
</div>

Used By

Element Group subsup.class

Source

<xsd:element name="sup">
  <xsd:annotation>
    <xsd:documentation>
      <div xmlns="http://www.w3.org/1999/xhtml">
        <h3>Superscript</h3>
      </div>
    </xsd:documentation>
  </xsd:annotation>
  <xsd:complexType mixed="true">
    <xsd:choice minOccurs="0" maxOccurs="unbounded">
      <xsd:group ref="emphasized-text"/>
    </xsd:choice>
    <xsd:attribute name="arrange" use="optional">
      <xsd:simpleType>
        <xsd:annotation>
          <xsd:documentation/>
        </xsd:annotation>
        <xsd:restriction base="xsd:NMTOKEN">
          <xsd:enumeration value="stack"/>
          <xsd:enumeration value="stagger"/>
        </xsd:restriction>
      </xsd:simpleType>
    </xsd:attribute>
    <xsd:attribute name="id" use="optional" type="xsd:ID"/>
    <xsd:attribute name="specific-use" use="optional" type="xsd:string"/>
    <xsd:attribute ref="xml:base" use="optional"/>
  </xsd:complexType>
</xsd:element>

Sample

Semivariograms have been widely used in research to obtain optimal resolutions for ground features. To obtain the semivariogram curve and its attributes (

range

and

sill

), parameters including

sample size

(

SS

),

maximum distance

(

MD

), and

group number

(

GN

) have to be defined, as well as a mathematic model for fitting the curve. However, a clear guide on parameter setting and model selection is currently not available. In this study, a Monte Carlo simulation-based approach (MCS) is proposed to enhance the performance of semivariograms by optimizing the parameters, and case studies in three regions are conducted to determine the optimal resolution for natural resource surveys. Those parameters are optimized one by one through several rounds of MCS. The result shows that exponential model is better than sphere model;

sample size

has a positive relationship with R

2

, while the

group number

has a negative one; increasing the simulation number could improve the accuracy of estimation; and eventually the optimized parameters improved the performance of semivariogram. In case study, the average sizes for three general ground features (grassland, farmland, and forest) of three counties (Ansai, Changdu, and Taihe) in different geophysical locations of China were acquired and compared, and imagery with an appropriate resolution is recommended. The results show that the ground feature sizes acquired by means of MCS and optimized parameters in this study match well with real land cover patterns.