Spatial dependence plays a key role in all phenomena involving the geographic space, such as the social processes associated with transport and land use. Nevertheless, spatial dependence in multinomial discrete models has not received the same level of attention as have the other kinds of correlations in the discrete modeling literature, mainly due to the complexity of its treatment. This paper aims at offering a brief discussion on the different kinds of spatial correlation affecting multinomial discrete models and the different ways in which spatial correlation has been addressed in the discrete modeling literature. Furthermore, the paper offers a discussion on the advantages and limitations of the different approaches to treat spatial correlation and it also proposes a compromise solution among complexity, computational costs, and realism that can be useful in some specific situations.

中文翻译：

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浅谈多项式离散模型中空间相关性的处理

空间依赖性在涉及地理空间的所有现象中都起着关键作用，例如与交通和土地使用相关的社会过程。然而，多项离散模型中的空间依赖性并没有像离散建模文献中的其他类型的相关性那样受到同等程度的关注，这主要是由于其处理的复杂性。本文旨在简要讨论影响多项离散模型的不同类型的空间相关性以及离散建模文献中处理空间相关性的不同方式。此外，本文讨论了处理空间相关性的不同方法的优点和局限性，并提出了复杂性、计算成本、