Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication.

Spatial statistics concerns the quantitative analysis of spatial and spatio-temporal data, including their statistical dependencies, accuracy and uncertainties. Methodology for spatial statistics is typically found in probability theory, stochastic modelling and mathematical statistics as well as in information science. Spatial statistics is used in mapping, assessing spatial data quality, sampling design optimisation, modelling of dependence structures, and drawing of valid inference from a limited set of spatio-temporal data.

《空间统计》发表关于空间和时空统计理论和应用的文章。它偏爱那些展示新应用产生的理论或将新理论应用于重要实际案例的稿件。纯理论研究很少被接受。没有方法论发展的纯案例研究不予发表。

空间统计涉及空间和时空数据的定量分析，包括它们的统计依赖性、准确性和不确定性。空间统计方法通常存在于概率论、随机建模和数理统计以及信息科学中。空间统计用于制图、评估空间数据质量、抽样设计优化、依赖结构建模以及从有限的时空数据集中得出有效推论。

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