A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas
© 2016 International Water Resources Association. This article present a Bayesian probabilistic method to support out-scaling of technologies from pilot projects. The method is applied to aerobic rice, a water-saving technology with probable global potential. The method assumes that areas similar to...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Routledge, Taylor & Francis Group
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/72129 |
| _version_ | 1848762667703992320 |
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| author | Rubiano M, J. Cook, Simon Rajasekharan, M. Douthwaite, B. |
| author_facet | Rubiano M, J. Cook, Simon Rajasekharan, M. Douthwaite, B. |
| author_sort | Rubiano M, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2016 International Water Resources Association. This article present a Bayesian probabilistic method to support out-scaling of technologies from pilot projects. The method is applied to aerobic rice, a water-saving technology with probable global potential. The method assumes that areas similar to pilot sites are more likely to adopt than those that are different or unfavourable. Similarity is defined from climate, landscape and socio-economic attributes. Favourability is further evaluated by project specialists. Scaling out is not a simple linear process, so the method is proposed as a complement to learning processes. Results can support prioritization and strategic planning over specific geographic areas. |
| first_indexed | 2025-11-14T10:51:13Z |
| format | Journal Article |
| id | curtin-20.500.11937-72129 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:51:13Z |
| publishDate | 2016 |
| publisher | Routledge, Taylor & Francis Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-721292018-12-13T09:33:30Z A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas Rubiano M, J. Cook, Simon Rajasekharan, M. Douthwaite, B. © 2016 International Water Resources Association. This article present a Bayesian probabilistic method to support out-scaling of technologies from pilot projects. The method is applied to aerobic rice, a water-saving technology with probable global potential. The method assumes that areas similar to pilot sites are more likely to adopt than those that are different or unfavourable. Similarity is defined from climate, landscape and socio-economic attributes. Favourability is further evaluated by project specialists. Scaling out is not a simple linear process, so the method is proposed as a complement to learning processes. Results can support prioritization and strategic planning over specific geographic areas. 2016 Journal Article http://hdl.handle.net/20.500.11937/72129 10.1080/02508060.2016.1138215 Routledge, Taylor & Francis Group restricted |
| spellingShingle | Rubiano M, J. Cook, Simon Rajasekharan, M. Douthwaite, B. A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas |
| title | A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas |
| title_full | A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas |
| title_fullStr | A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas |
| title_full_unstemmed | A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas |
| title_short | A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas |
| title_sort | bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas |
| url | http://hdl.handle.net/20.500.11937/72129 |