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Modelling landscape change in paddy fields using logistic regression and GIS

机译:使用Logistic回归和GIS建模稻田景观变化

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Paddy field in karawang district, as an important agricultural land in west java, has been decreased since 1994. From previous study, paddy fields dominantly turned into built area. The changes were almost occured in the middle area of the district where roadways, industries, settlements, and commercial buildings were existed. These were estimated as driving forces. But, we still need to prove it. This study aimed to construct the paddy field probability change model, subsequently the driving forces will be obtained. GIS combined with logistic regression using environmental variables were used as main method in this study. Ten environmental variables were elevation 0-500 m, elevation>500 m, slope<8%, slope>8%, CBD, build up area, river, irrigation, toll and national roadway, and collector and local roadway. The result indicated that four variables were significantly played as driving forces (slope>8%, CBD area, build up area, and collector and local roadway). Paddy field has high, medium, and low probability to change which covered about 27.8%, 7.8%, and 64.4% area in Karawang respectively. Based on landscape ecology, the recommendation that suitable with landscape change is adaptive management.
机译:卡拉旺区的稻田是西爪哇省的重要农业用地,自1994年以来一直在减少。从以前的研究中,稻田总结了建造区域。在存在道路,行业,定居点和商业建筑物的地区中部地区几乎发生了这些变化。这些被估计为驱动力。但是,我们仍然需要证明它。本研究旨在构造稻田概率变化模型,随后将获得驱动力。 GIS与使用环境变量的逻辑回归联合在本研究中用作主要方法。十个环境变量升高0-500米,海拔500米,坡度<8%,斜坡> 8%,CBD,建筑面积,河流,灌溉,收费和国家道路,以及收藏家和当地道路。结果表明,四个变量显着发挥为驱动力(斜坡> 8%,CBD区域,建筑面积和收集器和本地道路)。稻田具有高,培养基,更低的变化概率,分别涵盖了卡拉港的约27.8%,7.8%和64.4%面积。基于景观生态学,适用于景观变革的建议是自适应管理。

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