Ecological models are useful in modeling organizations and their competition over resources. However, the traditional approaches, particularly Blau space models, are restrictive in their dependence on a continuous space. In addition, these models are susceptible to indicating competition in sparsely populated areas of an ecology, resulting in competition being indicated where there are no resources to compete over. To deal with these problems we reconceptualize Blau space into the Hybrid Blau space model, using both a cellular structure to model a wider number of variable types, and probabilistic urn models to simulate competition between organizations. We briefly review the basic concepts of Blau space, demonstrate the issues with traditional Blau space modeling, present a new model referred to as the Hybrid model, and propose several new metrics to describe the behavior of organizations in this new model. A novel data source, attribute data from Parliament Members of the Ukrainian Parliament, are used to illustrate the Hybrid Blau space model.

生态模型可用于对组织及其对资源的竞争进行建模。但是，传统方法，特别是Blau空间模型，在对连续空间的依赖方面存在局限性。另外，这些模型易于指示生态系统在人烟稀少的地区中的竞争，从而导致在没有资源可以竞争的情况下表明竞争。为了解决这些问题，我们将Blau空间重新概念化为Hybrid Blau空间模型，既使用细胞结构来建模更广泛的变量类型，又使用概率缸模型来模拟组织之间的竞争。我们简要回顾了Blau空间的基本概念，演示了传统Blau空间建模的问题，提出了一种称为混合模型的新模型，并提出一些新指标来描述这种新模型中组织的行为。乌克兰议会议员的属性数据是一种新颖的数据源，用于说明混合布劳空间模型。