The use of a multilevel statistical model to analyze factors influencing land use: a study of the Ecuadorian Amazon
The use of a multilevel statistical model to analyze factors influencing land use: a study of the Ecuadorian Amazon
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DOI：
10.1016/j.gloplacha.2004.10.014
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发表时间：
2005-07-01
影响因子：
3.9
通讯作者：
Bilsborrow, RE
中科院分区：
文献类型：
--
作者：
Pan, WKY;Bilsborrow, RE
本研究介绍了一种新的应用约束多变量响应多层次模型的土地利用。方法学的目标是：（1）研究土地利用多层次模型的概念规范;（2）在多层次模型估计中纳入约束条件，以反映土地利用作为响应的自洽性。其实质性目标是展示和报告1999年在整个北方厄瓜多尔亚马逊流域59个社区的农场（fincas）的代表性样本的多层次结果。结果表明，人口压力，劳动力，家庭和社区之间的可达性和接近度是土地利用的强预测因子。社区被认为是通过未观察到的和观察到的结构性影响，在finca一级显着影响土地使用。最后，我们提出了四项建议，以应用多层次模型：（1）考虑替代类型的多层次模型，以更好地匹配土地利用数据分布;（2）空间自相关的测试和控制;（3）收集最好的数据可能在更高的水平;（4）考虑进一步整合遥感和家庭调查数据使用多层次的框架。(c)2004 Elsevier B. V.保留所有权利。
This research introduces a novel application of a constrained multivariate response multilevel model of land use. Methodological objectives are (1) to examine the conceptual specification of a multilevel model of land use and (2) to incorporate constraints in multilevel model estimation to reflect the ipsative nature of land use as a response. The substantive objective is to demonstrate and report multilevel results from a representative sample of farm plots (fincas) in 1999 nested in 59 communities throughout the Northern Ecuadorian Amazon. Results indicate that population pressure, labor, and accessibility and proximity between households and communities are strong predictors of land use. Communities are seen to significantly influence land use at the finca level through unobserved and observed structural effects. We conclude with four recommendations to apply multilevel models: (1) consider alternative types of multilevel models to better match land use data distributions; (2) test and control for spatial autocorrelation; (3) collect the best data possible at higher levels; and (4) consider further integration of remotely sensed and household survey data using a multilevel framework. (c) 2004 Elsevier B.V. All rights reserved.