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Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia
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| Published in: | Earth Science Research |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1864030190072496129 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Earth Science Research |
| description | |
| discipline_display | Physical Sciences |
| discipline_facet | Physical Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:42044 |
| institution | FRELIP |
| journal_source_facet | Earth Science Research |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia Earth Sciences Earth Sciences Physical Sciences |
| sub_discipline_display | Earth Sciences |
| sub_discipline_facet | Earth Sciences |
| subject_display | Earth Sciences Earth Sciences Physical Sciences Earth Sciences Earth Sciences Physical Sciences |
| subject_facet | Earth Sciences Earth Sciences Physical Sciences |
| title | Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia |
| title_auth | Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia |
| title_full | Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia |
| title_fullStr | Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia |
| title_full_unstemmed | Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia |
| title_short | Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia |
| title_sort | modelling the livelihood vulnerability index (lvi-ipcc) with machine learning in agro-ecological region i of southern zambia |
| topic | Earth Sciences Earth Sciences Physical Sciences |
| url | https://ccsenet.org/journal/index.php/esr/article/view/0/52705 |