Household consumption of natural gas is usually considered to be quite stable as cooking, space, and water heating belong to basic needs. The improvement of technologies together with possibilities of switching to alternative sources can, however, lead to a decreasing consumption trend. Knowing more about such trend, especially of its spatial distribution, can be useful for strategic planning. In this paper, we describe a general statistical methodology allowing to study the spatiotemporal behavior of consumption. It is based on semiparametric modeling. Formalized error and sensitivity analyses are part of the methodology. Presented methods are illustrated on large‐scale data from the Czech Republic.

中文翻译：

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天然气消耗时空趋势的半参数建模：方法，结果和后果

由于烹饪，空间和水加热属于基本需求，因此通常认为家庭天然气消费量相当稳定。但是，技术的改进以及切换到其他来源的可能性会导致消费趋势的下降。了解更多有关这种趋势的信息，尤其是其空间分布的信息，对于战略规划很有用。在本文中，我们描述了一种通用的统计方法，可以研究消费的时空行为。它基于半参数建模。正式的误差和敏感性分析是该方法的一部分。在捷克共和国的大量数据中说明了所提出的方法。