CONTEXTField conditions and systems being assessed
Data Processing
Application Programs
Model input and output data processing, or other types of data processing that are carried out continuously or repeatedly within a certain period, need to be supported by application programs developed…
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
Visual Leaflet
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Use this leaflet as a concise visual entry point before moving into the more detailed technical explanation.
ANALYSISIntegrated data, methods, and modelling
DECISIONVisual outputs and actionable recommendations
Executive Brief
Clarity before a decision is made
01Evidence-led
02Traceable assumptions
03Decision-ready outputs
04Methods proportionate to risk
Executive Brief
Application Programs
Clarity before a decision is made
Model input and output data processing, or other types of data processing that are carried out continuously or repeatedly within a certain period, need to be supported by application programs developed…
These application programs can be designed to automatically process model input and output data, as well as perform specific processes required by users. For example, Tsunami wave modeling results can be integrated with Marine GIS analysis to calculate the area inundated or swept by Tsunami waves and then combined with a Tsunami hazard map.
Decision Supported
Define the approach, priorities, and actions for application programs 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.
Analysis Scope
What is assessed and why it matters
Data inventory and inspection
This aspect is assessed to clarify its implications for application programs.
Cleaning, correction, and standardization
This aspect is assessed to clarify its implications for application programs.
Spatial, temporal, and unit transformation
This aspect is assessed to clarify its implications for application programs.
Statistical, spatial, or image analysis
This aspect is assessed to clarify its implications for application programs.
Cross-validation and quality control
This aspect is assessed to clarify its implications for application programs.
Visualization, documentation, and export
This aspect is assessed to clarify its implications for application programs.
Data & Methods
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.
Core Deliverables
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.
Decision Value
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.
Delivery Path
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.
Model input and output data processing, or other types of data processing that are carried out continuously or repeatedly within a certain period, need to be supported by application programs developed specifically for those purposes. These application programs can be developed using programming languages such as C++, Borland Delphi, Visual Basic, and others, allowing the user interface to be customized according to user needs.
These application programs can be designed to automatically process model input and output data, as well as perform specific processes required by users. For example, Tsunami wave modeling results can be integrated with Marine GIS analysis to calculate the area inundated or swept by Tsunami waves and then combined with a Tsunami hazard map. If the application program is used to monitor earthquakes in real time, it can function as a Tsunami Early Warning System.
Another example is the integration of modeling results from a water area using various available model modules with a decision support system. This integration can produce an application program for decision support in coastal resources and coastal tourism management. The purpose of this application program is to help determine the appropriate use of coastal areas and coastal tourism locations.
Related Options
Explore related topics and services
Mapping and GIS Analysis
Mapping technology and Geographic Information System (GIS) analysis for marine applications have developed rapidly.
Learn more →Coastal and Marine Data
Coastal and marine data are highly dynamic. Changes in aquatic parameters occur over time, even when the changes are very small. Therefore, coastal and marine datasets can become very large when parameters…
Learn more →Weather and Climate Data
Weather and climate data in Indonesian waters are highly variable because of the many climate phenomena that influence the region.
Learn more →Satellite Imagery
Marine remote sensing technology is currently developing rapidly, along with advances in sensor technology for detecting objects on the water surface.
Learn more →Next Step
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.
Useful initial information
- Location and project phase
- Decision or objective to support
- Primary problems and risks
- Available data
- Expected outputs and schedule