A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment
Several land use/cover change (LUCC) models have been developed to simulate future LUCC. However, current models work with the assumption that the input non-spatial variables are significant to the LUCC in hand and there is still a lack of model that could identify which non-spatial variables are si...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223001619 |
| _version_ | 1797816026285473792 |
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| author | Ian Estacio Corinthias P.M. Sianipar Kenichiro Onitsuka Mrittika Basu Satoshi Hoshino |
| author_facet | Ian Estacio Corinthias P.M. Sianipar Kenichiro Onitsuka Mrittika Basu Satoshi Hoshino |
| author_sort | Ian Estacio |
| collection | DOAJ |
| description | Several land use/cover change (LUCC) models have been developed to simulate future LUCC. However, current models work with the assumption that the input non-spatial variables are significant to the LUCC in hand and there is still a lack of model that could identify which non-spatial variables are significant drivers of LUCC. This paper presents a statistical model of LUCC that integrates a logistic model based on spatial drivers and a linear model based on non-spatial drivers. The logistic model produces a probability map that represents local probabilities of LUCC while the linear model produces a global probability threshold that represents a global probability of LUCC, and by comparing the two variables, LUCC is mapped. The statistical model was utilized to model agricultural abandonment in the Ifugao rice terraces, Philippines. Statistical modeling identified the significant spatial and non-spatial drivers of agricultural abandonment in the terraces. Accuracy assessment showed that simulated maps achieved accuracies suitable for LUCC simulation, demonstrating that the statistical model can be a potential tool for prediction of future LUCC. |
| first_indexed | 2024-03-13T08:31:34Z |
| format | Article |
| id | doaj.art-1694df1e29b042b2bbc3bcc517da19d7 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-03-13T08:31:34Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-1694df1e29b042b2bbc3bcc517da19d72023-05-31T04:43:56ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322023-06-01120103339A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonmentIan Estacio0Corinthias P.M. Sianipar1Kenichiro Onitsuka2Mrittika Basu3Satoshi Hoshino4Graduate School of Global Environment Studies, Kyoto University, Kyoto 606-8501, Japan; Corresponding author at: Graduate School of Global Environmental Studies, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan.Graduate School of Global Environment Studies, Kyoto University, Kyoto 606-8501, Japan; Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, JapanGraduate School of Global Environment Studies, Kyoto University, Kyoto 606-8501, JapanGraduate School of Global Environment Studies, Kyoto University, Kyoto 606-8501, JapanGraduate School of Global Environment Studies, Kyoto University, Kyoto 606-8501, JapanSeveral land use/cover change (LUCC) models have been developed to simulate future LUCC. However, current models work with the assumption that the input non-spatial variables are significant to the LUCC in hand and there is still a lack of model that could identify which non-spatial variables are significant drivers of LUCC. This paper presents a statistical model of LUCC that integrates a logistic model based on spatial drivers and a linear model based on non-spatial drivers. The logistic model produces a probability map that represents local probabilities of LUCC while the linear model produces a global probability threshold that represents a global probability of LUCC, and by comparing the two variables, LUCC is mapped. The statistical model was utilized to model agricultural abandonment in the Ifugao rice terraces, Philippines. Statistical modeling identified the significant spatial and non-spatial drivers of agricultural abandonment in the terraces. Accuracy assessment showed that simulated maps achieved accuracies suitable for LUCC simulation, demonstrating that the statistical model can be a potential tool for prediction of future LUCC.http://www.sciencedirect.com/science/article/pii/S1569843223001619GISLand-use simulationLogistic regressionGenetic algorithmFuzzy KappaIfugao rice terraces |
| spellingShingle | Ian Estacio Corinthias P.M. Sianipar Kenichiro Onitsuka Mrittika Basu Satoshi Hoshino A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment International Journal of Applied Earth Observations and Geoinformation GIS Land-use simulation Logistic regression Genetic algorithm Fuzzy Kappa Ifugao rice terraces |
| title | A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment |
| title_full | A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment |
| title_fullStr | A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment |
| title_full_unstemmed | A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment |
| title_short | A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment |
| title_sort | statistical model of land use cover change integrating logistic and linear models an application to agricultural abandonment |
| topic | GIS Land-use simulation Logistic regression Genetic algorithm Fuzzy Kappa Ifugao rice terraces |
| url | http://www.sciencedirect.com/science/article/pii/S1569843223001619 |
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