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CENTRE FOR COASTAL & MARINE SCIENCES

CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

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Page 1: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

CENTRE FOR COASTAL & MARINE SCIENCES

Page 2: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

ContentsContents

• Project backgroundProject background

• Our solutionOur solution

• DemonstrationDemonstration

• ConclusionsConclusions

Page 3: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Land-Ocean Interaction Land-Ocean Interaction StudyStudy• 6 year UK project6 year UK project

• 11 government research institutes 11 government research institutes and 27 Universities - 300 staffand 27 Universities - 300 staff

• Study and modelling of fluxes from Study and modelling of fluxes from river catchment, through estuaries to river catchment, through estuaries to the continental shelf edgethe continental shelf edge

• Large fieldwork component - cruises, Large fieldwork component - cruises, moorings, river stations, remote moorings, river stations, remote sensing etc.sensing etc.

• Modelling, catchments, ecosystems Modelling, catchments, ecosystems etcetc

Page 4: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

LOIS Overview CDROMLOIS Overview CDROM

Two relevant LOIS objectives:• Data integration through GISData integration through GIS

– different environmental mediadifferent environmental media

– different disciplinesdifferent disciplines

– different projections, datumsdifferent projections, datums

– different unitsdifferent units

– different visualizationdifferent visualization

• Data published to user communityData published to user community

– government agenciesgovernment agencies

– higher educationhigher education

– schoolsschools

Page 5: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Limitations of traditional GIS Limitations of traditional GIS softwaresoftware

• 2D in nature - ideal for studying static features2D in nature - ideal for studying static features

• Concurrent data access, integrity, securityConcurrent data access, integrity, security

• The world is a dynamic environmentThe world is a dynamic environment

– geological features - millions of yearsgeological features - millions of years

– land cover - annuallyland cover - annually

– water and atmosphere - sub secondwater and atmosphere - sub second

• Many attributes vary with height or depthMany attributes vary with height or depth

Page 6: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Generic Systems Generic Systems Development - RequirementsDevelopment - Requirements

What do most environment systems have in What do most environment systems have in common?common?

• User InterfaceUser Interface– Geographical front endGeographical front end– MappingMapping– AnalysisAnalysis– ReportingReporting

• Data StorageData Storage– AccessibilityAccessibility– Data securityData security

• Data Import and ExportData Import and Export– Simple to use data transfer formatsSimple to use data transfer formats

Page 7: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Generic DatabasingGeneric Databasing

• What are we trying to achieve?What are we trying to achieve?– Generic storage of diverse data Generic storage of diverse data

types that may vary in both space types that may vary in both space and timeand time

– Ability to define new features and Ability to define new features and attributesattributes

– Facilitate integration and Facilitate integration and accessibilityaccessibility

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Time

Features

Attributes

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Time

Features

Attributes

Gauging Station (GSTN)

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Time

Features

Attributes

Feature Name

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Time

Features

Attributes

Page 12: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Time

Features

Attributes

Thames@

Kensington

The value in the cell has a structured type of CHARACTER

Page 13: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Time

Features

Attributes

Gauging Station (GSTN)

Page 14: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Time

Features

Attributes

Feature Name

Page 15: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Time

Features

Attributes

Page 16: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Time

Features

Attributes

The value in the cell has a structured type of POINT(x,y,z)

51770 : 56980

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Time

FeaturesAttributes

Suspended Particulate Matter

CASI Image (Compact Airborne Spectrographic Image)

Page 18: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Time

FeaturesAttributes

The value in the cell has a structured type of BINARY

Page 19: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Spatio-temporal Spatio-temporal Environment MapperEnvironment Mapper

• GISGIS

• 3D space3D space

• TimeTime

• N attributesN attributes

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Page 21: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Zoom

Reprojection

Ancillary data

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Query WizardQuery Wizard

Page 23: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Query WizardQuery Wizard

Page 24: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Query WizardQuery Wizard

Page 25: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions

Query WizardQuery Wizard

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Comparison of attributesComparison of attributes

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Attribute versus attributeAttribute versus attribute

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Depth

Time

Time bar

Depth bar

Time and depth barsTime and depth bars

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=100,000 traditional layers

(200 times x 100 depths x 5 attributes)

Time Accessibility

Comparison to traditional GISComparison to traditional GIS

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ConclusionsConclusions

• Development of a 4D GISDevelopment of a 4D GIS– generic database, access, visualizationgeneric database, access, visualization

• Product DeliveredProduct Delivered– LOIS Overview CDLOIS Overview CD

– Micro Low FlowsMicro Low Flows

– Humber Tidal DatabaseHumber Tidal Database

– Emphasys projectEmphasys project

• Future development/funding ?Future development/funding ?

Page 40: CENTRE FOR COASTAL & MARINE SCIENCES. Contents Project backgroundProject background Our solutionOur solution DemonstrationDemonstration ConclusionsConclusions