研究実績の概要 |
In this fiscal year, I have first developed the modelling framework for model development. Based on literature review and preliminary trial, it was divided into two steps, i.e. spatial sownscaling and LULC downscaling. Multinominal logit model and cross entropy method will be employed for the modeling. In addition, I have collected and verified two types of spatial datasets that are required for developing the high resolution agricultural production and land-use change model. The first type of datasets is the biophysical data, which includes historical land use data, crop distribution data, temperature and precipitation data, slope data, elevation data, soil type data. The second type of datasets is the socioeconomic data, which includes GDP per capita and population density data.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
Since I was not able to find a research assistant with enough ability to assist the literature survey, data collection and processing as early as possible, I have to do these tasks alone by myself. Therefore, the research process was slightly delayed.
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今後の研究の推進方策 |
In the next fiscal year, the data processing should be acclerated. After that, the statistical land use and land cover change model will be estimated. Then, the cross entrophy method will be used for the spatial downscaling.
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