table-wrap

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

Element Information

Model

Attributes

QName Type Fixed Default Use Inheritable Annotation
content-type xsd:string optional
id xsd:ID optional
orientation restriction of xsd:NMTOKEN portrait optional
position restriction of xsd:NMTOKEN float 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>
xml:lang union of(xs:language, restriction of xs:string) optional
<div>
  <h3>lang (as an attribute name)</h3>
  <p>denotes an attribute whose value is a language code for the natural language of the content of any element; its value is inherited. This name is reserved by virtue of its definition in the XML specification.</p>
</div>
<div>
  <h4>Notes</h4>
  <p>Attempting to install the relevant ISO 2- and 3-letter codes as the enumerated possible values is probably never going to be a realistic possibility.</p>
  <p>See BCP 47 at
    <a href="http://www.rfc-editor.org/rfc/bcp/bcp47.txt">http://www.rfc-editor.org/rfc/bcp/bcp47.txt</a>and the IANA language subtag registry at
    <a href="http://www.iana.org/assignments/language-subtag-registry">http://www.iana.org/assignments/language-subtag-registry</a>for further information.</p>
  <p>The union allows for the 'un-declaration' of xml:lang with the empty string.</p>
</div>

Used By

Source

<xsd:element name="table-wrap">
  <xsd:annotation>
    <xsd:documentation>
      <div xmlns="http://www.w3.org/1999/xhtml">
        <h3>Table Wrapper</h3>
      </div>
    </xsd:documentation>
  </xsd:annotation>
  <xsd:complexType>
    <xsd:group ref="table-wrap-model"/>
    <xsd:attribute name="content-type" use="optional" type="xsd:string"/>
    <xsd:attribute name="id" use="optional" type="xsd:ID"/>
    <xsd:attribute name="orientation" use="optional" default="portrait">
      <xsd:simpleType>
        <xsd:annotation>
          <xsd:documentation/>
        </xsd:annotation>
        <xsd:restriction base="xsd:NMTOKEN">
          <xsd:enumeration value="landscape"/>
          <xsd:enumeration value="portrait"/>
        </xsd:restriction>
      </xsd:simpleType>
    </xsd:attribute>
    <xsd:attribute name="position" use="optional" default="float">
      <xsd:simpleType>
        <xsd:annotation>
          <xsd:documentation/>
        </xsd:annotation>
        <xsd:restriction base="xsd:NMTOKEN">
          <xsd:enumeration value="anchor"/>
          <xsd:enumeration value="background"/>
          <xsd:enumeration value="float"/>
          <xsd:enumeration value="margin"/>
        </xsd:restriction>
      </xsd:simpleType>
    </xsd:attribute>
    <xsd:attribute name="specific-use" use="optional" type="xsd:string"/>
    <xsd:attribute ref="xml:base" use="optional"/>
    <xsd:attribute ref="xml:lang" use="optional"/>
  </xsd:complexType>
</xsd:element>

Sample

Figures and Tables

Figure 1

Locations of study sites.

< graphic xmlns = "" xlink:href = "ijgi-07-00013-g001.tif" />

Figure 2

An ideal curve of a semivariogram with a range of 10 and a sill of 30.

< graphic xlink:href = "ijgi-07-00013-g002.tif" />

Figure 3

Workflow of this study.

< graphic xlink:href = "ijgi-07-00013-g003.tif" />

Figure 4

Semivariograms for: built area (

a

); farmland (

b

); forest (

c

); grassland (

d

); and water (

e

), via sub-area method (SAM).

< graphic xlink:href = "ijgi-07-00013-g004.tif" />

Figure 5

Semivariograms for: built area (

a

); farmland (

b

); forest (

c

); grassland (

d

); water (

e

); and overall (

f

) based on direct-analysis method (DAM).

< graphic xlink:href = "ijgi-07-00013-g005.tif" />

Figure 6

Probability distributions for the built area (

red

), farmland (

green

), forest (

blue

), grassland (

black

), and water (

yellow

).

< graphic xlink:href = "ijgi-07-00013-g006.tif" />

Figure 7

Relationship between the group number (

GN

) and fitting R

2

for Ansai’s forest (

a

), grassland (

b

), farmland (

c

), Taihe’s forest (

d

), grassland (

e

), farmland (

f

), and Changdu’s forest (

g

), grassland (

h

), farmland (

i

); the

x

-axis is

GN

, and the

y

-axis is R

2

.

< graphic xlink:href = "ijgi-07-00013-g007.tif" />

Figure 8

Relationship between sample size (

SS

) and R

2

for Ansai’s forest (

a

), grassland (

b

), farmland (

c

), Taihe’s forest (

d

), grassland (

e

), farmland (

f

), and Changdu’s forest (

g

), grassland (

h

), farmland (

i

); the

x

-axis is

SS

and the

y

-axis is R

2

.

< graphic xlink:href = "ijgi-07-00013-g008.tif" />

Figure 9

Relationship between the simulation times and standard deviation of average fitting ranges for forest (

blue

), grassland (

green

), and farmland (

red

) in Ansai County.

< graphic xlink:href = "ijgi-07-00013-g009.tif" />

Figure 10

Land cover maps for: (

a

) Ansai County; (

b

) Taihe County; and (

c

) Changdu County.

< graphic xlink:href = "ijgi-07-00013-g010a.tif" />

< graphic xlink:href = "ijgi-07-00013-g010b.tif" />

Figure 11

Probability distributions for the ranges for: Ansai County (

a

); Taihe County (

b

); and Changdu County (

c

).

< graphic xlink:href = "ijgi-07-00013-g011.tif" />

Figure 12

Appropriate scales for forest, grassland, and farmland at the study sites.

< graphic xlink:href = "ijgi-07-00013-g012.tif" />

Figure 13

Proportion of the area of the ground features in: (

a

) Ansai; (

b

) Taihe; and (

c

) Changdu.

< graphic xlink:href = "ijgi-07-00013-g013.tif" />

ijgi-07-00013-t001_Table 1

Table 1

Image bands and sampling cell size.

Items

Detail

Blue

440–510 nm

Green

520–590 nm

Red

630–685 nm

Red Edge

690–730 nm

Infrared

760–850 nm

Sampling cell

6.5 m

ijgi-07-00013-t002_Table 2

Table 2

Image number and capture date.

Region

Number

Capture Date

Ansai County

4

3

1

September 2010, 1 October 2010

Taihe County

4

1 November 2011, 2 September 2012, 1 October 2010

Changdu County

5

2 September 2010

1

The values in parentheses indicate the number of images captured on that date.

ijgi-07-00013-t003_Table 3

Table 3

Image interpretation, indexes used and values.

County

Visual Interpretation

Object-Based Automatic Interpretation

Ansai County

Farmland, built area, and river

Forest (NDVI > 0.3), grassland (NDVI > 0.05), lake (NDWI > 0.3), barren (Brightness > 5600), others (all the rest)

Taihe County

Built area and river

Lake (NDWI > 0.25), farmland (NDSI > −0.17), forest (NDVI > 0.25 and Brightness < 4260), barren (Brightness > 5500), grassland (NDVI > 0), other (all the rest)

Changdu County

Farmland, built area and water

Forest (DN < 1950), grassland (NDVI > 0.07), others (all the rest)

ijgi-07-00013-t004_Table 4

Table 4

R

2

values for the exponential and spherical models.

< th rowspan = "2" align = "center" valign = "middle" style = "border-top:solid thin;border-bottom:solid thin" />

Ansai County

Taihe County

Changdu County

Forest

Grass

Farmland

Forest

Grass

Farmland

Forest

Grass

Farmland

Exponential

0.93

0.94

0.79

0.92

0.90

0.81

0.87

0.56

0.89

Spherical

0.56

0.61

0.49

0.36

0.38

0.50

0.38

0.27

0.39

ijgi-07-00013-t005_Table 5

Table 5

Standard deviation of the ranges.

< th rowspan = "2" align = "center" valign = "middle" style = "border-top:solid thin;border-bottom:solid thin" />

Ansai County

Taihe County

Changdu County

Forest

Grassland

Farmland

Forest

Grassland

Farmland

Forest

Grassland

Farmland

Before (B)

24.5

29.8

92.9

142.4

110.5

167.9

81.9

418.2

127.5

After (A)

10.9

13.4

5.8

137.9

74.9

22.4

62.4

7053.7

34.3

A−B

−13.6

−16.4

−87.1

−4.5

−35.6

−145.5

−19.5

6635.5

−93.2

Percentage

55.5%

55.0%

93.8%

3.2%

32.2%

86.7%

23.8%

------

73.1%

ijgi-07-00013-t006_Table 6

Table 6

Accuracy assessment of the classification results for Ansai, Taihe, and Changdu.

< th align = "center" valign = "middle" style = "border-top:solid thin;border-bottom:solid thin" />

Overall Accuracy

Kappa Coefficient

Ansai County

0.89

0.87

Taihe County

0.88

0.86

Changdu County

0.89

0.87

ijgi-07-00013-t007_Table 7

Table 7

Applicable satellite imagery for general ground features in pilot areas.

< th align = "center" valign = "middle" style = "border-top:solid thin;border-bottom:solid thin" />

Ground Features

Average Size (m)

Maximum Resolution (m)

Applicable Satellite Imagery

Ansai County

Forest

45

15

e.g., Landsat 8 (15 m)

Grassland

39

13

e.g., Sentinel-2A (10 m)

Farmland

63

21

e.g., CBERS-2 (20 m)

Taihe County

Forest

433

144

e.g., CBERS-2 (20 m)

Grassland

217

72

e.g., CBERS-2 (20 m)

Farmland

58

19

e.g., Landsat 8 (15 m)

Changdu County

Forest

108

36

e.g., CBERS-2 (20 m)

Grassland

1308

436

e.g., CBERS-2 (20 m)

Farmland

98

32

e.g., CBERS-2 (20 m)