北京市农村居民点时空模拟演化研究
首发时间:2013-08-05
摘要:把握农村居民点时空演化规律,是解决农村居民点用地粗放问题的核心。为了对比研究目前被广泛使用的CLUE-S模型和Markov-CA模型(以下简称两个模型)的模拟预测效果,本文以北京市为研究区,选取了14个土地利用驱动因子,利用这两个模型对2000年和2005年北京市土地利用变化进行了模拟预测,研究栅格单元为220m×220m。利用正确率和Kappa系数对模拟预测结果进行对比分析,得到结论如下:CLUE-S模型核心部分是Logistic回归,对于捕捉分布较为分散特点的地类变化趋势具有明显优势。Markov-CA考虑了邻域,对于模拟预测具有近邻扩散特点的地类变化具有相对优势。而从各土地利用类型来看,只有城镇地类具有近邻扩散的特点。这是CLUE-S模型2000年和2005年模拟预测效果均比Markov-CA模型好的主要原因。
关键词: 土地资源管理 北京 农村居民点 驱动理论 CLUE-S模型 Markov-CA模型
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Research on Spatio-temporal Simulation Evolution of Rural Settlements in Beijing
Abstract:The spatio-temporal evolution pattern of the rural settlements is the core to solve the problems of extensive utilization for the rural residential land. Aiming at comparing CLUE-S model and Markov-CA model(hereinafter referred to as the two models), this article taking Beijing as the research area, selected 14 land-use driving factors with 220 m×220m as grid unit and utilized the two models to simulate and predict the land-use change of Beijing in 2000 and 2005. Kappa index and accuracy were used to compared and analyzed the predicted results.The main conclusions are as follows: CLUE-S model whose core-part is the Logistic Regression Model, has obvious advantage to simulate and predict relatively scattered rural settlements. Markov-CA model which considers the neighborhood, has comparative advantage to simulate and predict urban land that has the characteristic of neighbor diffusion. And of all the land uses, only urban land has this characteristic. This is the main reason for that CLUE-S model's predicting effect is better than Markov-CA model in 2000 and 2005.
Keywords: Land Resources Management Beijing rural settlements driving theory CLUE-S model Markov-CA model
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