%PDF-1.5
%
1 0 obj
<<
/Metadata 2 0 R
/Names 3 0 R
/OpenAction 4 0 R
/Outlines 5 0 R
/PageMode /UseNone
/Pages 6 0 R
/Type /Catalog
/ViewerPreferences <<
/FitWindow true
>>
>>
endobj
7 0 obj
<<
/Author (Lina Huang, Tinghua Ai, Peter Van Oosterom, Xiongfeng Yan and Min Yang)
/CreationDate (D:20170713213442+08'00')
/Creator (LaTeX with hyperref package)
/Keywords (matrix model; vario-scale representation; complex generalization; hydrographic network generalization)
/ModDate (D:20170809133520+02'00')
/PTEX.Fullbanner (This is pdfTeX, Version 3.14159265-2.6-1.40.17 \(TeX Live 2016/W32TeX\) kpathsea version 6.2.2)
/Producer (pdfTeX-1.40.17)
/Subject (The representation of vector data at variable scales has been widely applied in geographic information systems and map-based services. When the scale changes across a wide range, a complex generalization that involves multiple operations is required to transform the data. To present such complex generalization, we proposed a matrix model to combine different generalization operations into an integration. This study was carried on a set of river network data, where two operations, i.e., network pruning accompanied with river simplification, were hierarchically constructed as the rows and columns of a matrix. The correspondence between generalization operations and scale, and the scale linkage of multiple operations were also explicitly defined. In addition, we developed a vario-scale data structure to store the generalized river network data based on the proposed matrix. The matrix model was validated and assessed by a comparison with traditional methods that conduct generalization operations in sequence. It was shown that the matrix model enabled complex generalization with good generalization quality. Taking advantage of the corresponding vario-scale data structure, the river network data could be obtained at any arbitrary scale, and the vario-scale representation was achieved across a wide scale range.)
/Title (A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data)
/Trapped /False
>>
endobj
2 0 obj
<<
/Length 5486
/Subtype /XML
/Type /Metadata
>>
stream
application/pdf
Lina Huang, Tinghua Ai, Peter Van Oosterom, Xiongfeng Yan and Min Yang
The representation of vector data at variable scales has been widely applied in geographic information systems and map-based services. When the scale changes across a wide range, a complex generalization that involves multiple operations is required to transform the data. To present such complex generalization, we proposed a matrix model to combine different generalization operations into an integration. This study was carried on a set of river network data, where two operations, i.e., network pruning accompanied with river simplification, were hierarchically constructed as the rows and columns of a matrix. The correspondence between generalization operations and scale, and the scale linkage of multiple operations were also explicitly defined. In addition, we developed a vario-scale data structure to store the generalized river network data based on the proposed matrix. The matrix model was validated and assessed by a comparison with traditional methods that conduct generalization operations in sequence. It was shown that the matrix model enabled complex generalization with good generalization quality. Taking advantage of the corresponding vario-scale data structure, the river network data could be obtained at any arbitrary scale, and the vario-scale representation was achieved across a wide scale range.
A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data
2017-07-13T21:34:42+08:00
LaTeX with hyperref package
2017-08-09T13:35:20+02:00
2017-08-09T13:35:20+02:00
matrix model; vario-scale representation; complex generalization; hydrographic network generalization
pdfTeX-1.40.17
False
This is pdfTeX, Version 3.14159265-2.6-1.40.17 (TeX Live 2016/W32TeX) kpathsea version 6.2.2
uuid:97c7b800-33b3-40dc-86c8-73c6876740a9
uuid:fccdb9a6-7e9d-48b4-a886-a3309ad7b3a3
endstream
endobj
3 0 obj
<<
/Dests 8 0 R
>>
endobj
4 0 obj
<<
/D [9 0 R /FitH]
/S /GoTo
>>
endobj
5 0 obj
<<
/Count 21
/First 10 0 R
/Last 11 0 R
/Type /Outlines
>>
endobj
6 0 obj
<<
/Count 21
/Kids [12 0 R 13 0 R 14 0 R 15 0 R]
/Type /Pages
>>
endobj
8 0 obj
<<
/Kids [16 0 R 17 0 R 18 0 R 19 0 R]
/Limits [(AMS.1) (table.2)]
>>
endobj
9 0 obj
<<
/Annots [20 0 R 21 0 R 22 0 R 23 0 R 24 0 R 25 0 R 26 0 R 27 0 R 28 0 R 29 0 R
30 0 R 31 0 R 32 0 R 33 0 R]
/Contents [34 0 R 35 0 R 36 0 R 37 0 R 38 0 R 39 0 R 40 0 R 41 0 R]
/CropBox [0 0 595.276 841.89]
/MediaBox [0 0 595.276 841.89]
/Parent 12 0 R
/Resources 42 0 R
/Rotate 0
/Type /Page
>>
endobj
10 0 obj
<<
/A 43 0 R
/Next 44 0 R
/Parent 5 0 R
/Title
>>
endobj
11 0 obj
<<
/A 45 0 R
/Parent 5 0 R
/Prev 46 0 R
/Title
>>
endobj
12 0 obj
<<
/Count 7
/Kids [47 0 R 9 0 R 48 0 R 49 0 R 50 0 R 51 0 R 52 0 R]
/Parent 6 0 R
/Type /Pages
>>
endobj
13 0 obj
<<
/Count 6
/Kids [53 0 R 54 0 R 55 0 R 56 0 R 57 0 R 58 0 R]
/Parent 6 0 R
/Type /Pages
>>
endobj
14 0 obj
<<
/Count 6
/Kids [59 0 R 60 0 R 61 0 R 62 0 R 63 0 R 64 0 R]
/Parent 6 0 R
/Type /Pages
>>
endobj
15 0 obj
<<
/Count 2
/Kids [65 0 R 66 0 R]
/Parent 6 0 R
/Type /Pages
>>
endobj
16 0 obj
<<
/Kids [67 0 R 68 0 R 69 0 R 70 0 R 71 0 R 72 0 R]
/Limits [(AMS.1) (cite.B21-ijgi-06-00218)]
>>
endobj
17 0 obj
<<
/Kids [73 0 R 74 0 R 75 0 R 76 0 R 77 0 R 78 0 R]
/Limits [(cite.B22-ijgi-06-00218) (cite.B54-ijgi-06-00218)]
>>
endobj
18 0 obj
<<
/Kids [79 0 R 80 0 R 81 0 R 82 0 R 83 0 R 84 0 R]
/Limits [(cite.B55-ijgi-06-00218) (page.4)]
>>
endobj
19 0 obj
<<
/Kids [85 0 R 86 0 R 87 0 R 88 0 R 89 0 R]
/Limits [(page.5) (table.2)]
>>
endobj
20 0 obj
<<
/A <<
/S /URI
/Type /Action
/URI (http://www.mdpi.com/journal/ijgi)
>>
/Border [0 0 0]
/C [0 1 1]
/H /I
/Rect [75.539 757.64 206.04 793.648]
/Subtype /Link
/Type /Annot
>>
endobj
21 0 obj
<<
/A <<
/S /URI
/Type /Action
/URI (http://www.mdpi.com)
>>
/Border [0 0 0]
/C [0 1 1]
/H /I
/Rect [474.736 757.64 519.737 793.648]
/Subtype /Link
/Type /Annot
>>
endobj
22 0 obj
<<
/A <<
/S /URI
/Type /Action
/URI (https://orcid.org/0000-0002-2921-6097)
>>
/Border [0 0 0]
/C [0 1 1]
/H /I
/Rect [138.762 641.634 151.589 656.532]
/Subtype /Link
/Type /Annot
>>
endobj
23 0 obj
<<
/A <<
/S /URI
/Type /Action
/URI (https://orcid.org/0000-0002-6581-9872)
>>
/Border [0 0 0]
/C [0 1 1]
/H /I
/Rect [222.413 641.634 235.24 656.532]
/Subtype /Link
/Type /Annot
>>
endobj
24 0 obj
<<
/A <<
/S /URI
/Type /Action
/URI (https://orcid.org/0000-0003-3874-4737)
>>
/Border [0 0 0]
/C [0 1 1]
/H /I
/Rect [338.263 641.634 351.091 656.532]
/Subtype /Link
/Type /Annot
>>
endobj
25 0 obj
<<
/A <<
/D (cite.B1-ijgi-06-00218)
/S /GoTo
>>
/Border [0 0 0]
/C [0 1 0]
/H /I
/Rect [105.587 223.909 112.561 232.836]
/Subtype /Link
/Type /Annot
>>
endobj
26 0 obj
<<
/A <<
/D (cite.B2-ijgi-06-00218)
/S /GoTo
>>
/Border [0 0 0]
/C [0 1 0]
/H /I
/Rect [257.619 223.909 264.593 232.836]
/Subtype /Link
/Type /Annot
>>
endobj
27 0 obj
<<
/A <<
/D (cite.B3-ijgi-06-00218)
/S /GoTo
>>
/Border [0 0 0]
/C [0 1 0]
/H /I
/Rect [371.293 196.706 378.267 205.817]
/Subtype /Link
/Type /Annot
>>
endobj
28 0 obj
<<
/A <<
/D (cite.B4-ijgi-06-00218)
/S /GoTo
>>
/Border [0 0 0]
/C [0 1 0]
/H /I
/Rect [378.815 196.891 385.789 205.817]
/Subtype /Link
/Type /Annot
>>
endobj
29 0 obj
<<
/A <<
/D (cite.B5-ijgi-06-00218)
/S /GoTo
>>
/Border [0 0 0]
/C [0 1 0]
/H /I
/Rect [298.091 156.178 305.065 165.289]
/Subtype /Link
/Type /Annot
>>
endobj
30 0 obj
<<
/A <<
/D (cite.B6-ijgi-06-00218)
/S /GoTo
>>
/Border [0 0 0]
/C [0 1 0]
/H /I
/Rect [303.109 115.65 310.083 124.761]
/Subtype /Link
/Type /Annot
>>
endobj
31 0 obj
<<
/A <<
/D (cite.B8-ijgi-06-00218)
/S /GoTo
>>
/Border [0 0 0]
/C [0 1 0]
/H /I
/Rect [312.972 115.65 319.946 124.761]
/Subtype /Link
/Type /Annot
>>
endobj
32 0 obj
<<
/A <<
/S /URI
/Type /Action
/URI (http://dx.doi.org/10.3390/ijgi6070218)
>>
/Border [0 0 0]
/C [0 1 1]
/H /I
/Rect [205.778 38.684 277.333 50.141]
/Subtype /Link
/Type /Annot
>>
endobj
33 0 obj
<<
/A <<
/S /URI
/Type /Action
/URI (http://www.mdpi.com/journal/ijgi)
>>
/Border [0 0 0]
/C [0 1 1]
/H /I
/Rect [414.899 38.684 519.737 50.141]
/Subtype /Link
/Type /Annot
>>
endobj
34 0 obj
<<
/Length 633
/Filter /FlateDecode
>>
stream
HTKo@W19x7BRҨq[&.K>HP E~}3p.2JA7X]d,F%em+#;'`b>,9.Λls9siQf4OcKSqkX2c D
Xom}5
!Np9%B";sk+:Rtm'_j=W]Xvm7M9clVu_}5Ve0JssJ2*WfÚU-m.̬$UMfs'7A
/Kr*ʭR;!ǪdVS+e-*sK|$(Ca!Ji"A4KfB/_/Ϥ"9
J9H3e_HRM+ ]
endstream
endobj
35 0 obj
<<
/Length 510
/Filter /FlateDecode
>>
stream
HTMo0W&J>
esa2PdmCR۰?ʲUqW`P e'ZiAK%`y
1ElA@{t (@x܈0+Hݢ%Iu ۽X{$([@R4_WoVZ
pu
U1Sx
RkF:99f)|N:ϭg lF(#T[>5rSF?ߐ #9&FP2(ťCg\/QlXI'|lӻMk>vom"
mp1K;z"p!Wgݦᓁ\:&S1n)+lu۠Ф)AfA:#3uOr_g{fzxOߙJFBD"ʆRk*L
CE2}lEFWSlA)j jX]7?oKC=%8jήV-# ?
endstream
endobj
36 0 obj
<<
/Length 632
/Filter /FlateDecode
>>
stream
H|Tn0}W1M2d
Ck!p@#ciݭ?E
C<<<00jXfZ΅d>M~C0ƈv$T SŤսa9'8>>&Ǚ>GqTpqTd{$IdCLcgg- 3Rj&.?9ߵy@90PrO2Y$?JAk҂:bE~~JߒEuBP((м@ 02*dkqƧ20,(!QpM06c`"
Χ$JB:5=۳v\Ï#a>0CQ
vRRWeVWxbru6frt~uKa𗡈 j/C[U-A*ZS'U;p ydy
P^"
.VSWUO"xFkD*+Kpe⹝m+_s@7|6nnVy)l-@96m#g[bUӼ%_(Z
з;pOqb7qٜ8'}$ ]
endstream
endobj
37 0 obj
<<
/Length 777
/Filter /FlateDecode
>>
stream
HlTr0/%M[Ӆb+Y2+_9iiW{AN")6hFXʂ$egVkW*SaJ(!,K1oeq^U,u2ÊRw
>h֭zR/f+#GQ|z$Ոz/`;GP+n}w-bZ &qZ|Fh/C