Use of correspondence analysis in agroecosystem health and sustainability assessment
Describing agroecosystems and assessing their sustainability and health has become of great interest to researchers, Development agents and communities. Such assessments are frequently carried out using a group of carefully chosen attributes, known as indicators. This was the approach adopted in a p...
| Autores principales: | , , , |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
International Society for Veterinary Epidemiology and Economics
2000
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/51289 |
| _version_ | 1855523342547681280 |
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| author | Gitau, T. McDermott, John J. Waltner-Toews, D. McDermott, B. |
| author_browse | Gitau, T. McDermott, B. McDermott, John J. Waltner-Toews, D. |
| author_facet | Gitau, T. McDermott, John J. Waltner-Toews, D. McDermott, B. |
| author_sort | Gitau, T. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Describing agroecosystems and assessing their sustainability and health has become of great interest to researchers, Development agents and communities. Such assessments are frequently carried out using a group of carefully chosen attributes, known as indicators. This was the approach adopted in a project whose objective was an integrated assessment of a tropical-highlands agroecosystem. Initially, information on a large numbers of variables was collected. However, it was felt that many of the variables initially measured were unlikely to provide important information and required great effort to collect. Thus, methods and approaches to develop useful subsets of indicators were investigated. In this paper we explore the use of multiple correspondence analysis (MCA) in two contexts: (1) as a basis for system description and analysis and (2) as a tool to choose indicator groupings that are relatively parsimonious and informative. |
| format | Conference Paper |
| id | CGSpace51289 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2000 |
| publishDateRange | 2000 |
| publishDateSort | 2000 |
| publisher | International Society for Veterinary Epidemiology and Economics |
| publisherStr | International Society for Veterinary Epidemiology and Economics |
| record_format | dspace |
| spelling | CGSpace512892023-02-15T09:34:34Z Use of correspondence analysis in agroecosystem health and sustainability assessment Gitau, T. McDermott, John J. Waltner-Toews, D. McDermott, B. epidemiology methods agriculture ecosystem public health small farms Describing agroecosystems and assessing their sustainability and health has become of great interest to researchers, Development agents and communities. Such assessments are frequently carried out using a group of carefully chosen attributes, known as indicators. This was the approach adopted in a project whose objective was an integrated assessment of a tropical-highlands agroecosystem. Initially, information on a large numbers of variables was collected. However, it was felt that many of the variables initially measured were unlikely to provide important information and required great effort to collect. Thus, methods and approaches to develop useful subsets of indicators were investigated. In this paper we explore the use of multiple correspondence analysis (MCA) in two contexts: (1) as a basis for system description and analysis and (2) as a tool to choose indicator groupings that are relatively parsimonious and informative. 2000 2014-10-31T06:22:22Z 2014-10-31T06:22:22Z Conference Paper https://hdl.handle.net/10568/51289 en Limited Access International Society for Veterinary Epidemiology and Economics |
| spellingShingle | epidemiology methods agriculture ecosystem public health small farms Gitau, T. McDermott, John J. Waltner-Toews, D. McDermott, B. Use of correspondence analysis in agroecosystem health and sustainability assessment |
| title | Use of correspondence analysis in agroecosystem health and sustainability assessment |
| title_full | Use of correspondence analysis in agroecosystem health and sustainability assessment |
| title_fullStr | Use of correspondence analysis in agroecosystem health and sustainability assessment |
| title_full_unstemmed | Use of correspondence analysis in agroecosystem health and sustainability assessment |
| title_short | Use of correspondence analysis in agroecosystem health and sustainability assessment |
| title_sort | use of correspondence analysis in agroecosystem health and sustainability assessment |
| topic | epidemiology methods agriculture ecosystem public health small farms |
| url | https://hdl.handle.net/10568/51289 |
| work_keys_str_mv | AT gitaut useofcorrespondenceanalysisinagroecosystemhealthandsustainabilityassessment AT mcdermottjohnj useofcorrespondenceanalysisinagroecosystemhealthandsustainabilityassessment AT waltnertoewsd useofcorrespondenceanalysisinagroecosystemhealthandsustainabilityassessment AT mcdermottb useofcorrespondenceanalysisinagroecosystemhealthandsustainabilityassessment |