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A Reciprocal Triangulation Process For Identifying And Mapping Potential Land Use Conflict.
Jennifer Diana Evans1, James Barrie Kirkpatrick2, Kerry Lynn Bridle2
1Rural Clinical School, University of Tasmania, Locked Bag 3513, Burnie, TAS, 7320, Australia. jen.evans@utas.edu.au.
Understanding land use conflicts is key for planning. This study uses participatory GIS (PGIS) to map values and identify potential conflicts, revealing spatial variations in intensity to aid compromise.
Area of Science:
- Environmental Planning
- Geographic Information Systems
- Social Science
Background:
- Land use is frequently contested, necessitating an understanding of conflict nature and spatial intensity for effective planning.
- Developing planning solutions requires insight into the drivers and spatial distribution of land use conflicts.
Purpose of the Study:
- To present a novel process for mapping values and potential land use conflicts using participatory GIS (PGIS).
- To identify spatial variations in conflict intensity and stakeholder attitudes to facilitate land use compromise.
Main Methods:
- Utilized participatory GIS (PGIS) to map stakeholder values and potential conflicts.
- Employed questionnaires and principal components analysis to identify major axes in values and attitudes.
- Applied quantitative procedures to define attitude groups and map conflict intensity.
Main Results:
- Identified multidimensional land use conflicts, including incompatible recreation and conflicts between conservation and economic production.
- Quantified spatial variation in conflict intensity, with two-fifths of the area found to be non-contested.
- Highlighted spatial variation in group attachment and conflict intensity, suggesting potential for compromise.
Conclusions:
- The developed PGIS process effectively identifies and maps land use conflicts and their spatial intensity.
- Findings indicate that spatial variation in conflict potential can facilitate land use compromise.
- The study provides a framework for addressing contested land use through participatory mapping and analysis.
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