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The impact of class resolution in land use change models

机译：集体决议对土地利用变化模型的影响

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A recent focus of land use/land cover research is the design and validation of spatially explicit predictive models. An often overlooked aspect of model development is the role of class resolution. The objective of this paper is to evaluate the impact of changing the number and breadth of land use classes on a model's calibration and predictions. To address the objective, three model specifications were developed representing urban development in the Barnegat Bay watershed (New Jersey, USA). The models range from one based on a single broad resolution class to one using six fine resolution classes. The results of the analysis indicated that changing the level of class resolution impacts the model's calibration parameters and predicted outcomes, but more finely defined urban conversion classes did not uniformly improve the accuracy of the model. If fine resolution classes are identified, however, the specific types of conversions that are not well captured by the model are revealed. The paper ends with a discussion of the broader implications of class resolution decisions in land use/land cover models.
机译：土地利用/土地覆盖研究的最新重点是空间明确预测模型的设计和验证。模型开发的一个经常被忽视的方面是类解析的作用。本文的目的是评估改变土地使用类别的数量和广度对模型的校准和预测的影响。为了实现这一目标，在Barnegat湾流域（美国新泽西州）开发了三种代表城市发展的模型规范。这些模型的范围从基于单个宽分辨率类的一个到使用六个精细分辨率类的一个。分析结果表明，改变类别分辨率的水平会影响模型的校准参数和预测结果，但是定义更为精细的城市转换类别并不能统一提高模型的准确性。但是，如果确定了高分辨率类别，则会显示模型无法很好捕获的特定转换类型。本文最后讨论了土地使用/土地覆盖模型中的集体决议决定的广泛含义。

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