Welcome to NUSAP net

Robust knowledge for Sustainability

Post Normal Science
Participatory IA
Sensitivity Analysis
Expert elicitation
Uncertainty Communication
Pluralistic uncert. management

Reports, papers, ...
RIVM/MNP Uncertainty Guidance
Model quality checklist
Interactive tools
Pedigree matrices

Related websites
Post Normal Times
The Integrated Assessment Society
Precautionary Principle
Renewable Energy Master

Main Menu
Web Links
Your Account
Top 10

Other Options
· Members List

Welcome to NUSAP net Glossary

[ A |  B |  C |  D |  E |  F |  G |  H |  I |  J |  K |  L |  M |  N |  O |  P |  Q |  R |  S ]
[ T |  U |  V |  W |  X |  Y |  Z |  1 |  2 |  3 |  4 |  5 |  6 |  7 |  8 |  9 |  0 ]

[ 1 ]
Terms Definitions
Aggregation Aggregation is the joining of more or less equivalent elements. Aggregation can take place across different scale-dimensions, leading to different resolutions on these scales. The most relevant scale dimensions in environmental assessment are: temporal scale (e.g. diurnal; seasonal; annual; century), spatial scale (e.g. local; regional; continental; global), and systemic scales (e.g. individual plants; ecosystems; terrestrial biosphere).
Aggregation error Aggregation error arises from the scaling up or scaling down of variables to meet a required aggregation level. In cases of non-additive variables the scaling-up or scaling-down relations are always to a certain degree arbitrary.
Assessment Assessment is a process that connects knowledge and action (both directions) regarding a problem. Assessment comprises the analysis and review of knowledge for the purpose of helping someone in a position of responsibility to evaluate possible actions or think about a problem. Assessment usually does not mean doing new research. Assessment means assembling, summarizing, organizing, interpreting, and possibly reconciling pieces of existing knowledge, and communicating them so that they are relevant and helpful to an intelligent but inexpert policy-maker or other actor involved in the problem at hand.
[ 1 ]