3. Konsep GIS Base Tuna
GIS-Based Tuna Database in
East Indonesia
Audrie J. Siahainenia, PhD.
FGD: Rancangan Basis Data Untuk Mendukung
PUI Konservasi Tuna, P2LD-LIPI
Durian
Durian Patah,
Patah, Ambon,
Ambon, March
March 24
24thth,, 2017
2017
Objective PUI – P2LD LIPI
Pusat Unggulan Iptek (PUI) is to develop a center
of excellence on resource conservation of Tuna in
East Indonesia region especially Banda Sea,
Moluccas, Sulawesi and Papua
• Focus on the resource ecology of Tuna
Existing Data (PUI-Tuna Database)
•
SocialEconomy
–
–
–
–
–
–
–
•
Date
Village name
Total population
Fishermen
# Fishing gears
# Fishing boats
Other information
•
–
–
–
–
–
•
GPS position
Date
Depths
Detail parameters
•
GPS position / Grid
Date
Species name
Size, length, etc..
Other parameters
Publications
–
–
–
–
Oceanography
–
–
–
–
TunaProduct
Publication title
Location
Date / Season
Detail publication
SpatialData - GIS
– GridNo
– Marine habitat
Database Link (PUI-Tuna Database)
• Table: SocialEconomy
–
–
–
–
–
–
VillID
Date
GridNo
TunaNo
PublicationsNo
Other Information
• Table: Oceanography
–
–
–
–
–
•
OceanoNo
GridNo
GPS Position
Depth
DetailParameters
Table: TunaProduct
–
–
–
–
–
•
Table: Publications
–
–
–
–
•
TunaNo
GridNo
GPSPosition
SpeciesID
TunaDescription
PublicationNo
LocationID
PublicationTitle
DetailPublication
Table: SpatialData-GIS
– GridNo
– WPPID (715 & 714)
Social Economy
VillID
GridNo
Oceanography
OceanoID
GPS Location
Tuna Product
TunaID
GPS Location
Publication
PublicationID
GridNo
Grid-based Analysis Cases
• Case study of hazard
(Su, M. D., Kang, J. L., Chang, L. F., & Chen, A. S. 2005. A grid-based GIS approach to
regional flood damage assessment.)
Work Flow
Flood hazard map from computer modeling
Timeframe Tuna Database PUI-P2LD LIPI
Existing Data
2012
2017
2018
PUI Project:
2019
2020
Develop GIS-Based Tuna Database
Software Apps. and Web-GIS
Upgrade Tuna data and information
Support Regional Fisheries
Management Organizations (RFMOs)
1.
Indian Ocean Tuna
Commission (IOTC)
2.
Commission for The
Conservation of Southern
Bluefin Tuna (CCSBT)
3.
Western Central Pacific
Fisheries Commission (WCPFC)
Update, Easy Access and
Maintenance Database
2025
Advantages of PUI – Tuna Database
• Provides a view for the tuna resources and social
aspect including their habitat and distribution pattern
• Offers Geo-referenced information, metadata and
updated Tuna database
• Informative and Interactive Tuna Web-GIS P2LD
LIPI
Software Needed
Database:
MS Access
MySQL – Oracle http://www.mysql.com
PostgreSQL – Barkley
Geography Information System - GIS:
ESRI – ArcGIS
QGIS
Outputs
Papers and Journal / Makalah Ilmiah
Reports:
Technical Report
User manual
Help Section
Policy / Tuna Conservation
References
•
•
•
•
•
•
Ramez Elmasri, Sam Navathe, Fundamentals of Database Systems, 4 rd
Edition, Addison Wesley Publishing Company, 2000.
Raghu Ramakrisnan, Gherke, Database Management System, 3 rd Edition,
McGraw-Hill, 2001.
Abraham Silberschatz, Henry F. Korth, Database System Concepts, 3 rd
Edition, 1999.
Su, M. D., Kang, J. L., Chang, L. F., & Chen, A. S. 2005. A grid-based GIS
approach to regional flood damage assessment
P2LD-LIPI Team, 2017. Masterplan Pengembangan Pusat Unggulan
IPTEK Konservasi Sumberdaya Tuna
Matthew MacDonald, Access 2013 – The Missing Manual, 1 st Edition,
O’Reilly Media, Inc., 2013.
What Next…..?
Step – 01 Summary of Tuna Database
• Existing Dataset (4 main components)
–
–
–
–
Social Economy (Villages) “Gaps”
Oceanography (P2LD-LIPI)
Tuna Products (KKP, Landing Station, Fishing Port)
Publications (UNPATTI, Darusalam, others)
• GIS Applications
– GIS Software (ArcGIS or QGIS)
– Additional GIS Data Included (Base map and Grid Map)
– Conversion spatial data to ArcMap Documents
(Geodatabase)
Step – 02 Selection of Applications and Design for the GISBased Tuna Database
• Selection of Database Applications
– MS Access
– MySQL (Oracle)
• Database Design
– Description of Database Structure
– Description of Database Relationships
Step – 03 Description of the Contents of the GIS-Based
Tuna Database
• Criteria for Evaluating Tuna Resources Data Sets
• Data Types and Data Sets Incorporated into the GISBased Tuna Database
• Tuna Database Quality Assurance/Quality Control
(QA/QC)
Step – 04 Options for Data Treatment
• Treatment of Undetected Data
• Treatment of Data for QA/QC Samples
• Non-Numerical and Zero Results
Step – 05 Special Considerations Regarding Data
Management
• Categorizing Samples
• Methods Used to Determine Calculated Values
• Special Treatment of Tuna Distribution Test Statistical
Designations
• Adaptation of Geographical Coordinates Unit
(WGS84/UTM)
• Methods for Recording Station Identification Codes
(GRID Based)
Step – 06 Description of the GIS Components of the Tuna
Database Project
• Methods for Compiling Data
• Organization of GIS Data
– ArcMap or QGIS Documents
– Accessory Information
• Base map WPP -714 Banda & WPP-715 Moluccas Sea
– Theme Metadata
• Approach Used for Dealing with Known Errors in the GIS Data
– Errors in Attribute Data
– Modifying the Base map
Step – 07 Linking the Tuna Database with GIS Applications
• Connected Tuna Database and GIS Software to
WebGIS Apps.
Step – 08 Administrative Details
• Distribution of the MS Access Tuna Database and GIS
Attributes
• Distribution of Metadata PUI-Tuna Database (
www.deepsea.lipi.go.id and website Fisheries)
• Distribution of PUI-Tuna Database (website intra LIPI,
intra.lipi.go.id)
• Access to Database Update (SOP)
• Maintenance Database (Monthly or annually)
PUI Tuna Resources Database, GIS Based
Technical Documentation (Draft-0)
Table of Content
Chapter 1. Introduction
1.1 Background
1.2 Purpose of the GIS-Based Tuna Database
1.3 Purpose of the Technical Documentation
1.4 Organization of the Technical Documentation
1.5 Geographic Scope of the Study Area
Chapter 2. Summary Tuna Database - PUI P2LD-LIPI Projects
2.1 Existing Dataset (4 main components)
2.2 GIS Applications
2.2.1 Additional GIS Data Included (Base map)
2.2.2 Conversion spatial data to ArcMap Documents
Chapter 3. Selection of Applications and Design for the GIS-Based Tuna Database
3.1 Introduction
3.2 Selection of Database Applications
3.3 Database Design
3.3.1 Description of Database Structure
3.3.2 Description of Database Relationships
Chapter 4. Description of the Contents of the GIS-Based Tuna Database
4.1 Introduction
4.2 Criteria for Evaluating Tuna Data Sets
4.3 Data Types and Data Sets Incorporated into the GIS-Based Tuna Database
4.4 Database Quality Assurance/Quality Control (QA/QC)
Chapter 5. Options for Data Treatment
5.1 Treatment of Undetected Data
5.2 Treatment of Data for QA/QC Samples
5.3 Non-Numerical and Zero Results
Chapter 6. Special Considerations Regarding Data Management
6.1 Categorizing Samples
6.2 Methods Used to Determine Calculated Values
6.3 Special Treatment of Distribution Test Statistical Designations
6.4 Adaptation of Geographical Coordinates
6.5 Methods for Recording Station Identification Codes (GRID)
Chapter 7. Description of the GIS Components of the Project
7.1 Methods for Compiling Data
7.2 Organization of GIS Data
7.2.1 ArcMap 10.4 Map Documents
7.2.2 Spatial Data
7.2.3 Accessory Information
7.2.4 Base map of Moluccas Sea
7.2.5 Theme Metadata
7.3 GIS Data Included
7.4 Approach Used for Dealing with Known Errors in the GIS Data
7.4.1 Errors in Attribute Data
7.4.2 Modifying the Base map
Chapter 8. Linking the GIS-Based Tuna Database with GIS Applications
Chapter 9. Administrative Details
9.1 Distribution of the MS Access Tuna Database and GIS Components
9.2 Distribution of Metadata PUI-Tuna Database
(www.deepsea.lipi.go.id and website Fisheries)
9.3 Distribution of PUI-Tuna Database (website intra LIPI, intra.lipi.go.id)
9.4 Access to Database Updated (Procedures)
9.5 Maintenance Database (Monthly or annually)
Chapter 10. Benefit of having Tuna Database
10.1 Source Scientific Data and Information about Tuna
10.2 Coverage Area of WPP 715 Maluku and WPP 714 Banda
References
THE
END
East Indonesia
Audrie J. Siahainenia, PhD.
FGD: Rancangan Basis Data Untuk Mendukung
PUI Konservasi Tuna, P2LD-LIPI
Durian
Durian Patah,
Patah, Ambon,
Ambon, March
March 24
24thth,, 2017
2017
Objective PUI – P2LD LIPI
Pusat Unggulan Iptek (PUI) is to develop a center
of excellence on resource conservation of Tuna in
East Indonesia region especially Banda Sea,
Moluccas, Sulawesi and Papua
• Focus on the resource ecology of Tuna
Existing Data (PUI-Tuna Database)
•
SocialEconomy
–
–
–
–
–
–
–
•
Date
Village name
Total population
Fishermen
# Fishing gears
# Fishing boats
Other information
•
–
–
–
–
–
•
GPS position
Date
Depths
Detail parameters
•
GPS position / Grid
Date
Species name
Size, length, etc..
Other parameters
Publications
–
–
–
–
Oceanography
–
–
–
–
TunaProduct
Publication title
Location
Date / Season
Detail publication
SpatialData - GIS
– GridNo
– Marine habitat
Database Link (PUI-Tuna Database)
• Table: SocialEconomy
–
–
–
–
–
–
VillID
Date
GridNo
TunaNo
PublicationsNo
Other Information
• Table: Oceanography
–
–
–
–
–
•
OceanoNo
GridNo
GPS Position
Depth
DetailParameters
Table: TunaProduct
–
–
–
–
–
•
Table: Publications
–
–
–
–
•
TunaNo
GridNo
GPSPosition
SpeciesID
TunaDescription
PublicationNo
LocationID
PublicationTitle
DetailPublication
Table: SpatialData-GIS
– GridNo
– WPPID (715 & 714)
Social Economy
VillID
GridNo
Oceanography
OceanoID
GPS Location
Tuna Product
TunaID
GPS Location
Publication
PublicationID
GridNo
Grid-based Analysis Cases
• Case study of hazard
(Su, M. D., Kang, J. L., Chang, L. F., & Chen, A. S. 2005. A grid-based GIS approach to
regional flood damage assessment.)
Work Flow
Flood hazard map from computer modeling
Timeframe Tuna Database PUI-P2LD LIPI
Existing Data
2012
2017
2018
PUI Project:
2019
2020
Develop GIS-Based Tuna Database
Software Apps. and Web-GIS
Upgrade Tuna data and information
Support Regional Fisheries
Management Organizations (RFMOs)
1.
Indian Ocean Tuna
Commission (IOTC)
2.
Commission for The
Conservation of Southern
Bluefin Tuna (CCSBT)
3.
Western Central Pacific
Fisheries Commission (WCPFC)
Update, Easy Access and
Maintenance Database
2025
Advantages of PUI – Tuna Database
• Provides a view for the tuna resources and social
aspect including their habitat and distribution pattern
• Offers Geo-referenced information, metadata and
updated Tuna database
• Informative and Interactive Tuna Web-GIS P2LD
LIPI
Software Needed
Database:
MS Access
MySQL – Oracle http://www.mysql.com
PostgreSQL – Barkley
Geography Information System - GIS:
ESRI – ArcGIS
QGIS
Outputs
Papers and Journal / Makalah Ilmiah
Reports:
Technical Report
User manual
Help Section
Policy / Tuna Conservation
References
•
•
•
•
•
•
Ramez Elmasri, Sam Navathe, Fundamentals of Database Systems, 4 rd
Edition, Addison Wesley Publishing Company, 2000.
Raghu Ramakrisnan, Gherke, Database Management System, 3 rd Edition,
McGraw-Hill, 2001.
Abraham Silberschatz, Henry F. Korth, Database System Concepts, 3 rd
Edition, 1999.
Su, M. D., Kang, J. L., Chang, L. F., & Chen, A. S. 2005. A grid-based GIS
approach to regional flood damage assessment
P2LD-LIPI Team, 2017. Masterplan Pengembangan Pusat Unggulan
IPTEK Konservasi Sumberdaya Tuna
Matthew MacDonald, Access 2013 – The Missing Manual, 1 st Edition,
O’Reilly Media, Inc., 2013.
What Next…..?
Step – 01 Summary of Tuna Database
• Existing Dataset (4 main components)
–
–
–
–
Social Economy (Villages) “Gaps”
Oceanography (P2LD-LIPI)
Tuna Products (KKP, Landing Station, Fishing Port)
Publications (UNPATTI, Darusalam, others)
• GIS Applications
– GIS Software (ArcGIS or QGIS)
– Additional GIS Data Included (Base map and Grid Map)
– Conversion spatial data to ArcMap Documents
(Geodatabase)
Step – 02 Selection of Applications and Design for the GISBased Tuna Database
• Selection of Database Applications
– MS Access
– MySQL (Oracle)
• Database Design
– Description of Database Structure
– Description of Database Relationships
Step – 03 Description of the Contents of the GIS-Based
Tuna Database
• Criteria for Evaluating Tuna Resources Data Sets
• Data Types and Data Sets Incorporated into the GISBased Tuna Database
• Tuna Database Quality Assurance/Quality Control
(QA/QC)
Step – 04 Options for Data Treatment
• Treatment of Undetected Data
• Treatment of Data for QA/QC Samples
• Non-Numerical and Zero Results
Step – 05 Special Considerations Regarding Data
Management
• Categorizing Samples
• Methods Used to Determine Calculated Values
• Special Treatment of Tuna Distribution Test Statistical
Designations
• Adaptation of Geographical Coordinates Unit
(WGS84/UTM)
• Methods for Recording Station Identification Codes
(GRID Based)
Step – 06 Description of the GIS Components of the Tuna
Database Project
• Methods for Compiling Data
• Organization of GIS Data
– ArcMap or QGIS Documents
– Accessory Information
• Base map WPP -714 Banda & WPP-715 Moluccas Sea
– Theme Metadata
• Approach Used for Dealing with Known Errors in the GIS Data
– Errors in Attribute Data
– Modifying the Base map
Step – 07 Linking the Tuna Database with GIS Applications
• Connected Tuna Database and GIS Software to
WebGIS Apps.
Step – 08 Administrative Details
• Distribution of the MS Access Tuna Database and GIS
Attributes
• Distribution of Metadata PUI-Tuna Database (
www.deepsea.lipi.go.id and website Fisheries)
• Distribution of PUI-Tuna Database (website intra LIPI,
intra.lipi.go.id)
• Access to Database Update (SOP)
• Maintenance Database (Monthly or annually)
PUI Tuna Resources Database, GIS Based
Technical Documentation (Draft-0)
Table of Content
Chapter 1. Introduction
1.1 Background
1.2 Purpose of the GIS-Based Tuna Database
1.3 Purpose of the Technical Documentation
1.4 Organization of the Technical Documentation
1.5 Geographic Scope of the Study Area
Chapter 2. Summary Tuna Database - PUI P2LD-LIPI Projects
2.1 Existing Dataset (4 main components)
2.2 GIS Applications
2.2.1 Additional GIS Data Included (Base map)
2.2.2 Conversion spatial data to ArcMap Documents
Chapter 3. Selection of Applications and Design for the GIS-Based Tuna Database
3.1 Introduction
3.2 Selection of Database Applications
3.3 Database Design
3.3.1 Description of Database Structure
3.3.2 Description of Database Relationships
Chapter 4. Description of the Contents of the GIS-Based Tuna Database
4.1 Introduction
4.2 Criteria for Evaluating Tuna Data Sets
4.3 Data Types and Data Sets Incorporated into the GIS-Based Tuna Database
4.4 Database Quality Assurance/Quality Control (QA/QC)
Chapter 5. Options for Data Treatment
5.1 Treatment of Undetected Data
5.2 Treatment of Data for QA/QC Samples
5.3 Non-Numerical and Zero Results
Chapter 6. Special Considerations Regarding Data Management
6.1 Categorizing Samples
6.2 Methods Used to Determine Calculated Values
6.3 Special Treatment of Distribution Test Statistical Designations
6.4 Adaptation of Geographical Coordinates
6.5 Methods for Recording Station Identification Codes (GRID)
Chapter 7. Description of the GIS Components of the Project
7.1 Methods for Compiling Data
7.2 Organization of GIS Data
7.2.1 ArcMap 10.4 Map Documents
7.2.2 Spatial Data
7.2.3 Accessory Information
7.2.4 Base map of Moluccas Sea
7.2.5 Theme Metadata
7.3 GIS Data Included
7.4 Approach Used for Dealing with Known Errors in the GIS Data
7.4.1 Errors in Attribute Data
7.4.2 Modifying the Base map
Chapter 8. Linking the GIS-Based Tuna Database with GIS Applications
Chapter 9. Administrative Details
9.1 Distribution of the MS Access Tuna Database and GIS Components
9.2 Distribution of Metadata PUI-Tuna Database
(www.deepsea.lipi.go.id and website Fisheries)
9.3 Distribution of PUI-Tuna Database (website intra LIPI, intra.lipi.go.id)
9.4 Access to Database Updated (Procedures)
9.5 Maintenance Database (Monthly or annually)
Chapter 10. Benefit of having Tuna Database
10.1 Source Scientific Data and Information about Tuna
10.2 Coverage Area of WPP 715 Maluku and WPP 714 Banda
References
THE
END