Specifically, we demonstrate the ease at which ResIPy deals with topography, advanced data processing, the ability to fix and constrain regions of known geoelectrical properties, time-lapse analysis and the capability for forward modeling and survey design. This paper highlights the rationale and structure behind the interface, before demonstrating its capabilities in a range of environmental problems. Contact your MathWorks Representative to indicate your interest for an institution-wide authorization. Furthermore, the easy to use design of ResIPy and the help provided inside makes it an effective educational tool. Your institution is not yet authorized to integrate MATLAB Grader with a Learning Management System. The ResIPy GUI facilitates data importing, data filtering, error modeling, mesh generation, data inversion and plotting of inverse models. ResIPy utilizes the mature R2/cR2 inversion codes for ERT and IP, respectively. ResIPy was developed to provide a more intuitive, user-friendly, approach to inversion of geoelectrical data, using an open source graphical user interface (GUI) and a Python application programming interface (API). Several established non-commercial inversion codes exist, but they typically require advanced knowledge to use effectively. Although field surveys using these methods are relatively straightforward, ERT and IP data require the application of inverse methods prior to any interpretation. Electrical resistivity tomography (ERT) and induced polarization (IP) methods are now widely used in many interdisciplinary projects.
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