Principal Component Analysis: IPSR Innovation Profile
Principal Component Analysis (PCA) is an effective approach that helps to identify and pinpoint critical locations for monitoring groundwater resources. The approach utilizes statistical techniques to integrate various environmental parameters such as land use, hydrology, climate, and soil attribute...
| Autores principales: | , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR System Organization
2024
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| Acceso en línea: | https://hdl.handle.net/10568/152520 |
| _version_ | 1855539375968878592 |
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| author | Hafeez, Mohsin Awan, W. |
| author_browse | Awan, W. Hafeez, Mohsin |
| author_facet | Hafeez, Mohsin Awan, W. |
| author_sort | Hafeez, Mohsin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Principal Component Analysis (PCA) is an effective approach that helps to identify and pinpoint critical locations for monitoring groundwater resources. The approach utilizes statistical techniques to integrate various environmental parameters such as land use, hydrology, climate, and soil attributes to gauge the susceptibility of regions to groundwater quality and quantity. IWMI piloted this approach together with the Government of Punjab, Pakistan, where it is empowering government stakeholders to make collaborative decisions for targeted groundwater interventions. This includes where to install groundwater monitoring devices. |
| format | Brief |
| id | CGSpace152520 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | CGIAR System Organization |
| publisherStr | CGIAR System Organization |
| record_format | dspace |
| spelling | CGSpace1525202024-10-02T01:17:02Z Principal Component Analysis: IPSR Innovation Profile Hafeez, Mohsin Awan, W. groundwater Principal Component Analysis (PCA) is an effective approach that helps to identify and pinpoint critical locations for monitoring groundwater resources. The approach utilizes statistical techniques to integrate various environmental parameters such as land use, hydrology, climate, and soil attributes to gauge the susceptibility of regions to groundwater quality and quantity. IWMI piloted this approach together with the Government of Punjab, Pakistan, where it is empowering government stakeholders to make collaborative decisions for targeted groundwater interventions. This includes where to install groundwater monitoring devices. 2024-08-30 2024-10-01T04:51:44Z 2024-10-01T04:51:44Z Brief https://hdl.handle.net/10568/152520 en Open Access application/pdf CGIAR System Organization Hafeez, M. and Awan, W. 2024. Principal Component Analysis: IPSR Innovation Profile. First edition, August 2024. Montpellier: CGIAR System Organization. |
| spellingShingle | groundwater Hafeez, Mohsin Awan, W. Principal Component Analysis: IPSR Innovation Profile |
| title | Principal Component Analysis: IPSR Innovation Profile |
| title_full | Principal Component Analysis: IPSR Innovation Profile |
| title_fullStr | Principal Component Analysis: IPSR Innovation Profile |
| title_full_unstemmed | Principal Component Analysis: IPSR Innovation Profile |
| title_short | Principal Component Analysis: IPSR Innovation Profile |
| title_sort | principal component analysis ipsr innovation profile |
| topic | groundwater |
| url | https://hdl.handle.net/10568/152520 |
| work_keys_str_mv | AT hafeezmohsin principalcomponentanalysisipsrinnovationprofile AT awanw principalcomponentanalysisipsrinnovationprofile |