3. Konsep GIS Base Tuna

(1)

GIS-Based Tuna Database in

East Indonesia

GIS-Based Tuna Database in

East Indonesia

Audrie

J. Siahainenia,

PhD.

FGD: Rancangan Basis Data Untuk Mendukung

PUI Konservasi Tuna, P2LD-LIPI

Durian Patah, Ambon, March 24

th

_{, 2017}

FGD: Rancangan Basis Data Untuk Mendukung

PUI Konservasi Tuna, P2LD-LIPI

(2)

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

(3)

• _{SocialEconomy}

–

_Date

–

_{Village name}

–

_{Total population}

–

_Fishermen

–

_{# Fishing gears}

–

_{# Fishing boats}

–

_{Other information}

• _Oceanography

–

_{GPS position}

–

_Date

–

_Depths

–

_{Detail parameters}

• _TunaProduct

–

_{GPS position / Grid}

–

_Date

–

_{Species name}

–

_{Size, length, etc..}

–

_{Other parameters}

• _Publications

–

_{Publication title}

–

_Location

–

_{Date / Season}

–

_{Detail publication}

• _{SpatialData - GIS}

–

_GridNo

–

_{Marine habitat}

(4)

Database Link (PUI-Tuna Database)

• _{Table: SocialEconomy}

–

_VillID

–

_Date

–

_GridNo

–

_TunaNo

–

_{PublicationsNo}

–

_{Other Information}

• _{Table: Oceanography}

–

_OceanoNo

–

_GridNo

–

_{GPS Position}

–

_Depth

–

_{DetailParameters}

• _{Table: TunaProduct}

–

_TunaNo

–

_GridNo

–

_GPSPosition

–

_SpeciesID

–

_{TunaDescription}

• _{Table: Publications}

–

_{PublicationNo}

–

_LocationID

–

_{PublicationTitle}

–

_{DetailPublication}

• _{Table: SpatialData-GIS}

–

_GridNo

(5)

Social Economy

VillID

GridNo

Tuna Product

TunaID

GPS Location

Oceanography

OceanoID

GPS Location

Publication

(6)

• _{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.)

Flood hazard map from computer modeling

Work Flow

(7)

Timeframe Tuna Database PUI-P2LD LIPI

2017

2018

2019

₂₀₂₀

₂₀₂₅

2012

PUI Project:



_{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)

(8)

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

(9)

Database:

MS Access

MySQL – Oracle

_{http://www.mysql.com}

PostgreSQL – Barkley

Geography Information System - GIS:

ESRI – ArcGIS

QGIS

(10)

Papers and Journal / Makalah Ilmiah

Reports:

Technical Report

User manual

Help Section

(11)

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

(12)

(13)

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}

(14)

Step – 02 Selection of Applications and Design for the

GIS-Based Tuna Database

• _{Selection of Database Applications}

–

_{MS Access}

–

_{MySQL (Oracle)}

• _{Database Design}

–

_{Description of Database Structure}

(15)

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}

GIS-Based Tuna Database

• _{Tuna Database Quality Assurance/Quality Control}

(16)

Step – 04 Options for Data Treatment

• _{Treatment of Undetected Data}

• _{Treatment of Data for QA/QC Samples}

(17)

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}

(18)

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}

(19)

Step – 07 Linking the Tuna Database with GIS Applications

• _{Connected Tuna Database and GIS Software to}

(20)

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)}

(21)

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

7.4 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

(22)