Abstract Preliminary interpretation of geological processes during field measurement campaigns require fast data analysis to adapt ongoing target strategies. It is the case of soil investigations where coupling geochemical and geophysical records favors a better understanding of subsurface processes. This task requires (i) statistical analysis to identify areas of interest during spatial surveys and (ii) signal processing to analyze temporal series. Here we present SoilExp, an open-source Python-based Graphical User Interface (GUI) that permits to process spatial and temporal surveys of soil gases (e.g. soil CO2 flux) combined with common physical parameters (e.g. self-potential, temperature) that are synchronously recorded on the field. SoilExp mixes innovative algorithms with the more common tools used for the analysis of both spatial surveys or temporal series. It offers the possibility to display distribution plots, maps, comparative plots, spectra and spectrograms, as well as data statistical analysis, in order to deal efficiently with datasets acquired on the field. Field measurements performed at Stromboli (Italy) supports that such software solution facilitates a quick visualization of the data output and is a powerful tool on the geochemical and geophysical analysis.

中文翻译：

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SoilExp 软件：用于后处理空间和时间土壤调查的开源图形用户界面 (GUI)

摘要 现场测量活动期间地质过程的初步解释需要快速数据分析以适应正在进行的目标策略。在土壤调查中，耦合地球化学和地球物理记录有助于更好地了解地下过程。此任务需要 (i) 统计分析以确定空间调查期间感兴趣的区域和 (ii) 信号处理以分析时间序列。在这里，我们展示了 SoilExp，这是一个基于 Python 的开源图形用户界面 (GUI)，它允许处理土壤气体（例如土壤 CO2 通量）的空间和时间调查以及常见的物理参数（例如自我电位、温度），这些参数是现场同步录制。SoilExp 将创新算法与用于分析空间调查或时间序列的更常用工具相结合。它提供了显示分布图、地图、比较图、光谱和光谱图以及数据统计分析的可能性，以便有效地处理现场采集的数据集。在 Stromboli（意大利）进行的现场测量支持这种软件解决方案有助于数据输出的快速可视化，并且是地球化学和地球物理分析的强大工具。