基于栅格数据的土地利用格局解释模型及应用

在一定空间分辨率的栅格上用二值型变量表征土地利用格局，是一种常见的土地利用格局表征形式。解释基于这一表征形式的土地利用格局与自然环境条件、社会经济因素之间的关系多需引入非线性模型。本文基于非线性统计方法构建了基于栅格数据的土地利用格局解释模型，不仅刻画了土地利用格局与影响因子之间的非线性统计关系，解决了分类变量引入统计模型的难题，还消除了土地利用格局解释模型中概率估计值常常超过概率值域的问题。太仆寺旗的应用研究表明，栅格尺度土地利用格局解释模型能准确表达土地利用分布格局与自然环境条件、社会经济因素间的定量关系，所得结论为太仆寺旗土地利用规划、土地资源优化利用提供了决策参考信息。

Robust Estimation of the Raster-Based Explanatory Model for Land Use Pattern

The non-linear models with binary variables to identify the existence of some land use types at the pixel-specific dimension are widely used to analyze the relationship between land use pattern and its influential factors. In this paper, we develop and use a Raster-Based Explanatory Model for Land Use Pattern (RBEMLUP) to solve the problems we are always confronted with when we build and estimate the models to figure out the drive mechanism of land use pattern after we introduce the binary variables in the statistical estimation model and when there exist non-liner relationship between the independent variables and dependent variables. The case study in Taips League shows that RBEMLUP is capable of accurately estimating the relationship between the influential factors from the geophysical and social-economic dimensions and the land use pattern at regional extent, through a series of treatments including mainly the multicollinearity diagnoses and singular value elimination. The research results for the case study of Taips League are of significance to supply the decision making information for land use planning and the optional utilization of land resource.