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The text on this page is taken from an equivalent page of the IEHIAS-project.

Aguila is an exploratory data analysis tool. It is capable of visualising various types of data in different ways and it maintains interactive links between these visualisations.

As an example, you can visualise a spatio-temporal attribute using a map view and a time series view. Aguila allows you to explore the temporal variation of each location on the map by clicking in the map view. This also works the other way around. You can explore the spatial distribution of each moment in time by clicking in the time series view.

Beside spatio-temporal variation, Aguila has support for scenarios (AKA alternatives) and uncertainty.

In short, Aguila:

  • can visualise various types of data,
  • can read many data set formats,
  • runs at least on the major operating systems,
  • is licensed under the GPL.

For further information see PPCRaster.

Model description


Aguila is an interactive data visualisation tool for spatio-temporal information. The aim is to provide tools for exploration of the structure, characteristics and uncertainties of the input data.


Field(s) of model:

e.g. Outdoor Air, Indoor Air, Water, Soil, Noise, Exposure, Multimedia, Drinking water

Spatial coverage, Spatial resolution, Temporal coverage and Temporal resolution depend on the input data.


Any type of spatially referenced measured or modelled data, e.g. pollutants, stressors, health effects can be visualised as long as it comes as a vector or raster data format. Raster data is supported by the geospatial data abstraction library. Support of vector data is under development and comprises currently ESRI shapefiles with an external attribute database file. For uncertainty, time and scenario view, naming conventions are developed for the files. Scenarios are ordered in folders, the raster files are named with the attribute they contain and timestep as well as quantile of the probability distribution if available. Currently, Aguila only reads quantiles of a cumulative probability distribution and interpolates the pdf from the quantile files. An example is shown below:

folders (scenarios):

A2, A1B, B1

files within folders (attribute_timestep_quantile):












Visual output in an interactive graphical user interface. Aguila can visualise time, attribute uncertainty as a probability distribution and scenarios in different, interconnected windows.

Probability view and time series:

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Scenario view:

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Description of processes modelled and of technical details

Aguila stores the uncertainties as probability distribution for each raster cell. The user can explore the uncertainties by moving through the raster map through the probability distribution. Time is shown as timeline and can be visualised by animation. Scenarios are displayed as maps next to each other showing the same spatial area with different raster results.

Aguila is part of the PCRaster Open Source tools and is licensed und GPL. Installation packages can be downloaded for Windows and Linux here

Aguila was developed by the University of Utrecht, Netherlands. For further information see: PCRaster.


Aguila is a helpful tool to visualise outputs of each step in the full chain. The ability to visualise uncertainties as well as compare scenarios helps to gain a better insight in the data output than simple plain visualisation without taking probability and scenario differences into account.

See also

Integrated Environmental Health Impact Assessment System
IEHIAS is a website developed by two large EU-funded projects Intarese and Heimtsa. The content from the original website was moved to Opasnet.
Topic Pages

Boundaries · Population: age+sex 100m LAU2 Totals Age and gender · ExpoPlatform · Agriculture emissions · Climate · Soil: Degredation · Atlases: Geochemical Urban · SoDa · PVGIS · CORINE 2000 · Biomarkers: AP As BPA BFRs Cd Dioxins DBPs Fluorinated surfactants Pb Organochlorine insecticides OPs Parabens Phthalates PAHs PCBs · Health: Effects Statistics · CARE · IRTAD · Functions: Impact Exposure-response · Monetary values · Morbidity · Mortality: Database

Examples and case studies Defining question: Agriculture Waste Water · Defining stakeholders: Agriculture Waste Water · Engaging stakeholders: Water · Scenarios: Agriculture Crop CAP Crop allocation Energy crop · Scenario examples: Transport Waste SRES-population UVR and Cancer
Models and methods Ind. select · Mindmap · Diagr. tools · Scen. constr. · Focal sum · Land use · Visual. toolbox · SIENA: Simulator Data Description · Mass balance · Matrix · Princ. comp. · ADMS · CAR · CHIMERE · EcoSenseWeb · H2O Quality · EMF loss · Geomorf · UVR models · INDEX · RISK IAQ · CalTOX · PANGEA · dynamiCROP · IndusChemFate · Transport · PBPK Cd · PBTK dioxin · Exp. Response · Impact calc. · Aguila · Protocol elic. · Info value · DST metadata · E & H: Monitoring Frameworks · Integrated monitoring: Concepts Framework Methods Needs
Listings Health impacts of agricultural land use change · Health impacts of regulative policies on use of DBP in consumer products
Guidance System
The concept
Issue framing Formulating scenarios · Scenarios: Prescriptive Descriptive Predictive Probabilistic · Scoping · Building a conceptual model · Causal chain · Other frameworks · Selecting indicators
Design Learning · Accuracy · Complex exposures · Matching exposure and health · Info needs · Vulnerable groups · Values · Variation · Location · Resolution · Zone design · Timeframes · Justice · Screening · Estimation · Elicitation · Delphi · Extrapolation · Transferring results · Temporal extrapolation · Spatial extrapolation · Triangulation · Rapid modelling · Intake fraction · iF reading · Piloting · Example · Piloting data · Protocol development
Execution Causal chain · Contaminant sources · Disaggregation · Contaminant release · Transport and fate · Source attribution · Multimedia models · Exposure · Exposure modelling · Intake fraction · Exposure-to-intake · Internal dose · Exposure-response · Impact analysis · Monetisation · Monetary values · Uncertainty