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Data · dataset · 2019

Participatory Policy Analysis for Climate Change Adaptation

Listed in DANS Data Station Physical and Technical Sciences

This PhD thesis is on developing participatory methods to support policy making for a farming community facing water scarcity in Iran.

Description

Fuzzy Cognitive Mapping (FCM) and Agent-Based modelling (ABM) have been used as the main methods in this study. The data-set includes 1) the FCMs matrices for 40 policy makers, 20 small farmers, 20 medium farmers and 20 large farmers (with no name and personal data), 2) the FCMapper output for farmers and policymakers, 3) NetLogo code for ABM, and 4) Overview, Design and Detail (ODD) document that describes the ABM and NetLogo code.

Date Accepted: 2019-02-13

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-ZD8-QAX59 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
created_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
descriptionsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/description
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