Unit 2 Flashcards
Overview of Multi-Criteria Evaluation (14 cards)
What is multi-criteri decision analysis/making (MCDA, MCDM)?
GIS-based decision-making uses multiple data sources to evaluate options, with emphasis on the judgment of the decision-making team, though subjectivity can be a concern.
What are some example objectives of multi-objective decision analysis/making?
profit maximization, conservation, service disruption
in an MCA table, what do the rows and columns do?
Row - describe an option
Column - describe the performance of the option against each criterion
what is multi-criteria evaluation?
a process that transforms and combines geographical data and value judgements to obtain information for decision making
What are the eight steps in the MCE process?
- problem definition
- criteria selection
- scoring criteria
- standardize criteria scores
- weight criteria
- combine weighted criteria
- decision rule
- sensitivity analysis
what are 4 advantages of MCA?
open and explicit, choice of objectives and criteria are open to analysis and change, scores and weights are explicit and provide and audit trail, and provides important means and medium for communication
what is a problem definition?
defining a problem that can be answered and define it in relation to expected results (a single specific answer, a set of options, and a surface of suitability/susceptibility)
what are the two types of criteria?
constraints - crisp boundaries, typically boolean, object representation of space
factors - continuous, field representation of space
what are the two criteria groups?
site - biophysical, socio-economical, political conditions at a specific location
situation - location relative to surroundings (distance from rivers, density calculations, etc)
what are 4 things to consider when collecting data?
what data you have, what data you can create, what data you can collect, what data you can aquire
what is MAUP and why is it important?
modifiable areal unit problem, which is a statistical bias that occurs in spatial analysis from different ways of drawing geographical boundaries leading to different patterns and results even when given the same data
what 3 steps do you need when doing single criterion scoring?
prepare data, transform into a susceptibility score, and standardize the score
what are 3 advantages to boolean logic models?
simple and easy to understand, works well for hard and fast rules, and evaluating the hypothesis that this area is suitable for
what are 4 disadvantages to boolean logic models?
may not be locations that satisfy all criteria, tends to be too restrictive, may fail to identify sites that are quite good but fail on one criterion, and all criteria are given equal weight
