Probabilistic earthquake locations provide confidence intervals for the hypocentre solutions such as errors encountered in the position, the origin time, and in magnitude. If the relationship of the parameters relative to the local arrangement of the seismic network is considered, such as the node distance, the number of stations, the seismic gap, and the quality of phase readings), the uncertainties can then provide insights on the location capability of the network. In this paper, we collect the earthquake data recorded from the Italian Seismic Network for a time span of 5 years. The data pertain to three different catalogues according to the progressive refinement phases of the location procedure: automatic location, revised location, and published location. By means of spatial analysis, we assess the distribution of the location-related and network-related estimators across the study area. These estimators are subsequently combined to assess the existence of spatial correlations at a local scale. The results indicate that the Italian network is generally able to provide robust locations at the national scale and for smaller earthquakes, and the elongated shape of Italy (and of its network) does not cause systematic bias in the locations. However, we highlight the existence of subregions in which the performance of the network is weaker. At present, a unique 2D, 3-layer velocity model is used for the earthquake location procedure, and this could represent the main limitation for the improvement of the locations. Therefore, the assessment of locally optimized velocity models is the priority for the homogenization and the improvement of the Italian Seismic Network performance.

概率地震位置为震源解提供置信区间，例如在位置、起源时间和震级中遇到的错误。如果考虑参数与地震台网局部布置的关系，例如节点距离、台站数量、地震间隙和相位读数质量），则不确定性可以提供位置的洞察力网络的能力。在本文中，我们收集了意大利地震台网记录的时间跨度为 5 年的地震数据。根据定位程序的逐步细化阶段，数据属于三个不同的目录：自动定位、修订定位和发布定位。通过空间分析，我们评估了整个研究区域中与位置相关和与网络相关的估计量的分布。随后将这些估计量组合起来以评估局部尺度上空间相关性的存在。结果表明，意大利网络通常能够在全国范围内为较小的地震提供可靠的位置，并且意大利（及其网络）的细长形状不会导致位置的系统偏差。然而，我们强调了网络性能较弱的子区域的存在。目前，地震定位程序使用独特的二维、三层速度模型，这可能是定位改进的主要限制。所以，