
Mapping and GIS Analysis
Mapping technology and Geographic Information System (GIS) analysis for marine applications have developed rapidly.
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
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Clarity before a decision is made
Mapping and GIS Analysis
Clarity before a decision is made
Mapping technology and Geographic Information System (GIS) analysis for marine applications have developed rapidly.
Objects on land are generally assumed to be attached to the land surface. In the ocean, however, several possibilities exist.

Decision Supported
Define the approach, priorities, and actions for mapping and gis analysis using traceable evidence.

Risk Controlled
Errors in projection, units, timing, quality control, interpolation, and interpretation.

Success Criteria
Reproducible processing, verified results, and usable output formats.
What is assessed and why it matters

Data inventory and inspection
This aspect is assessed to clarify its implications for mapping and gis analysis.

Cleaning, correction, and standardization
This aspect is assessed to clarify its implications for mapping and gis analysis.

Spatial, temporal, and unit transformation
This aspect is assessed to clarify its implications for mapping and gis analysis.

Statistical, spatial, or image analysis
This aspect is assessed to clarify its implications for mapping and gis analysis.

Cross-validation and quality control
This aspect is assessed to clarify its implications for mapping and gis analysis.

Visualization, documentation, and export
This aspect is assessed to clarify its implications for mapping and gis analysis.
A traceable evidence base

Observations
Field surveys, in-situ measurements, laboratory results, historical records, and operating information as required.

Remote sensing & GIS
Satellite imagery, mapping, spatial analysis, temporal change, and integration of multiple data sources.

Modeling & scenarios
Model setup, calibration, validation, existing–planned–extreme scenarios, and sensitivity analysis.

Quality assurance
Metadata, quality controls, assumptions, limitations, data versions, and processing lineage are documented.
Decision-ready information

Initial assessment & data gaps
Objectives, study area, available data, additional needs, initial risks, and recommended level of detail.

Datasets, maps & indicators
Quality-controlled data, thematic maps, time series, indicators, and comparable visualizations.

Scenarios & risk evaluation
Comparison of existing conditions, alternatives, extremes, sensitivities, consequences, and mitigation options.

Report & executive brief
Methods, results, limitations, recommendations, action priorities, and stakeholder presentation materials.
Benefits for decision makers and policy leaders

Reduce uncertainty
Assumptions, data, variability, and limitations are stated so decision risk is not hidden.

Compare options objectively
Alternative locations, designs, operations, or policies are assessed using consistent indicators.

Optimize cost and time
Data needs and analysis depth are proportionate to risk so resources are used efficiently.

Increase stakeholder confidence
Findings and recommendations are transparent for technical, management, regulatory, and partner review.
A clear process from need to recommendation
- 01

Need definition
Objectives, users, location, project phase, problems, constraints, and the decision to support.
- 02

Scope & work plan
Methods, data, surveys, models, schedule, team, deliverables, review gates, and resource estimate.
- 03

Acquisition & quality control
Collection, inspection, harmonization, documentation, and data-sufficiency assessment.
- 04

Analysis & scenario testing
Processing, modeling, validation, option comparison, sensitivity, and risk evaluation.
- 05

Recommendation & handover
Maps, report, executive brief, presentation, supporting data, and follow-up plan.
Full technical basis and contextOpen this section to read the complete source technical narrative.
Mapping technology and Geographic Information System (GIS) analysis for marine applications have developed rapidly. The concept of Marine GIS has not only advanced toward two-dimensional (2D) mapping, but has also begun to focus on how mapping concepts can be visualized in 3D and 4D systems. GIS applications for mapping objects on land are relatively simple, but mapping objects in the ocean is much more complex.
Objects on land are generally assumed to be attached to the land surface. In the ocean, however, several possibilities exist. An object may be located on the seabed, within the water column, or on the sea surface. This is why Marine GIS has developed toward 3D and 4D systems. In 3D, the dimensions are x, y, and z, or latitude, longitude, and depth. In 4D, the dimensions are x, y, z, and t, or latitude, longitude, depth, and time. The time component is important because changes in marine parameters are highly dynamic.
The application of Marine GIS in coastal areas is easier than in offshore waters when viewed from a dimensional system perspective, because coastal mapping generally uses only a 2D system. In practice, however, the application of Marine GIS technology in coastal areas is more complex because it involves a large amount of data and information. These data and information are not limited to the aquatic environment, but also include important information from land areas along the coast. Spatial analysis in coastal areas is also more complex than the application of Marine GIS technology in offshore waters.
Various commercial and non-commercial mapping software packages are widely available. The right choice depends on user needs and the capability of the software to meet spatial data processing requirements. Using the appropriate software can provide a high level of efficiency and effectiveness to support modeling activities quickly and accurately.
Share the need, location, available data, and the decision to be supported.
The CORZ team will review the objective, scope, data availability, risk level, schedule, and required outputs to prepare a proportionate approach.
- Location and project phase
- Decision or objective to support
- Primary problems and risks
- Available data
- Expected outputs and schedule