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Data Classification and Encoding Guide
DRAFT
INTERNATIONAL HYDROGRAPHIC ORGANIZATION
IHO UNIVERSAL HYDROGRAPHIC DATA MODEL
Draft Version September 2016
Special Publication No. 122
Marine Protected Area Product Specification
Appendix A
Data Classification and Encoding Guide
Published by the
International Hydrographic Bureau
MONACO
Copyright International Hydrographic Organization February 17September 16
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Data Classification and Encoding Guide
S-122 Appendix AFebruary 17September 16Draft Version
1Overview1
1.1Preface1
1.2S-122 Data Classification and Encoding Guide Metadata1
1.3Terms and definitions2
1.4Abbreviations4
1.5Use of language4
1.6Maintenance5
2General6
2.1Introduction6
2.2Descriptive characteristics6
2.2.1Feature6
2.2.1.1Geographic feature class6
2.2.1.2Meta feature class6
2.2.1.3Charted background feature6
2.2.2Information type6
2.3Spatial characteristics7
2.3.1Spatial primitives7
2.3.2Capture density guideline7
2.4Attributes7
2.4.1Simple attribute types7
2.4.2Mandatory attributes9
2.4.3Conditional attributes9
2.4.4Missing attribute values9
2.4.5Multiplicity9
2.4.6Spatial attribute types10
2.4.6.1Quality of spatial attributes10
2.4.7Portrayal feature attributes10
2.4.8Textual information11
2.4.8.1Specialized information types for common kinds of textual information11
2.4.8.2Textual information attributes11
2.4.8.3Languages11
2.4.8.4Minimal use of generalized text attributes12
2.4.8.5Short textual information12
2.4.8.6Complex or lengthy textual information12
2.4.9Attributes referencing external files13
2.4.9.1Predefined derived types13
2.4.9.2Reference to textual files13
2.4.9.3Reference to external sources13
2.4.9.4Reference to graphics13
2.4.10Dates14
2.4.10.1Complete Dates (Informative)14
2.4.10.2Truncated Dates (Informative)14
2.4.10.3Start and end of ranges15
2.4.10.4Schedules15
2.4.11Times16
2.4.12Combination of date schedules and times16
2.4.13Graphic information16
2.4.13.1Bearing information16
2.5Associations16
2.5.1Introduction16
2.5.2Association names17
2.5.3Association classes17
2.5.3.1Permission Type17
2.5.3.2Inclusion Type18
2.5.4Use of various associations19
2.5.4.1General19
2.5.4.2Generic association for uncategorized additional information19
2.5.4.3Associations to Restrictions, Recommendation, Regulations and Nautical Information19
2.5.4.4Conventional Association19
2.6Datasets19
2.6.1Types of Datasets19
2.6.2Overlay exchange sets20
2.6.3Data coverage20
2.6.4Discovery metadata20
2.6.5Dataset header metadata21
2.6.6Dataset units21
2.6.7Dataset Coverage21
2.6.8Dataset Feature Object Identifiers21
2.6.9180 Meridian of Longitude21
2.7Geographic names21
2.7.1Feature names21
2.7.2Text placement22
2.8Scale policy22
2.9Masking22
2.9.1Surface features crossing MPA cell boundaries22
2.9.2Linear surface features23
3Description of table format for feature and information types24
4Metadata Features25
4.1Introduction25
4.2Mandatory meta features25
4.3Data coverage meta feature25
4.4Quality of non-bathymetric data26
5Geo Features27
5.1Marine Protected Area27
5.2Traffic Control Services31
5.3Restricted Area33
5.4Information Area38
6Cartographic Features39
6.1Cartographic Features derived from S-101 (version 1.0)39
7Information Types39
7.1Information Types derived from S-101 (version 1.0)39
7.2Authority39
7.3Ship Report41
7.4Contact Details44
7.5Service Hours46
7.6Non Standard Working Day47
7.7Applicability49
7.8Regulations52
7.9Restrictions52
7.10Recommendations52
7.11Nautical Information52
8Association Class55
8.1Permission Type55
8.2Inclusion Type55
9Geo Feature Attribute and Enumerate Descriptions56
9.1Geo Feature Attribute and Enumerate Descriptions derived from S-101 (version 1.0)56
10Associations56
10.1Association names56
10.1.1Additional information56
10.1.2??????????56
10.2Association Roles57
10.2.1Component of57
10.2.2Consists of57
10.2.3Identifies57
10.2.4Positions57
10.2.5Provided by57
10.2.6Provides57
10.2.7Supported by57
10.2.8Supports57
10.2.9Updates57
11Meta Feature and Spatial Attribute and Enumerate Descriptions57
11.1Meta Features and Spatial Attributes and Enumerate Descriptions derived from S-101 (version 1.0)57
12Complex Attributes57
12.1Complex Attributes derived from S-101 (version 1.0)57
13ECDIS System (Portrayal) Attributes58
13.1ECDIS System (Portrayal) Attributes derived from S-101 (version 1.0)58
14Updating (see S-4 B-600)58
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Document Control
Version
Version Type
Date
Approved By
Signed Off By
Role
0.0.0
Editing Committee Draft
26.06.2012
SNPWG
SNPWG Chair
0.0.1
Editing Draft
2014
SNPWG
SNPWG Chair
0.3.4
New NPUBS text content model,
2014
0.3.8
Again, text content model
23.12.2014
SNPWG Chair
0.3.9
Editorial
21.01.2015
SNPWG Chair
0.4.0
Content restructure; some sub-clauses added; Revision of tables uses from S-101
03.02.2014
SNPWG Chair
0.5.0
Certain empty paragraphs have been filled with text
Additional comments placed elsewhere
13.03.2015
SNPWG Chair
0.6.0
Remove of context features
Added WRECKS and OBSTRN
(out for WG review)
30.10.2015
NIPWG Chair
0.7.0
Incorporation of the groups view
30.12.2015
NIPWG Chair
0.7.1
Consideration of feedback
01.02.2016
NIPWG Chair
0.7.2
Amendments according to comments made at NIPWG2
28.08.2016
NIPWG Chair,
0.7.3
Further clarifications
01.09.2016
NIPWG Chair
vi
Data Classification and Encoding Guide
DRAFT
OverviewPrefaceComment by briana sullivan: I would expect to read a clear and concise overview of the entire document in this preface. Something that would explain the contents and their relationships as well as guide the encoder on how to best use it. Avoiding unnecessary explanations of the S-122 Product Specification that dont help in the understanding of the classification and encoding of the data. I say this in the hopes we make this document the best that it can be, not just following what others have done but making it more understandable, with clearer language and break out of the standards languageremembering the S-100s goal to gear the products to users that are not just ECDIS compliant, but from many different domains!For example: POSSIBLE REWRITEEncoding is the process of coding geographic information defined by application schemas into a system-independent data structure suitable for transport and storage. The inverse process is called decoding. The resulting data structure may be stored on digital media or transfe