Characterization of drivers of agricultural land use change
Major factors driving agricultural land use in Malaysia were characterized with Principal Component Analysis (PCA). Discrete variables assumed to drive agricultural land use were converted into spatial data. Vector data subsequently obtained from these conversions were later rasterized before being...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Università di Napoli Federico II
2021-12-01
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| Series: | TeMA: Journal of Land Use, Mobility and Environment |
| Subjects: | |
| Online Access: | http://www.tema.unina.it/index.php/tema/article/view/8065 |