![]() PyLUSAT is an open-source software package that provides a series of tools (functions) to conduct various tasks in a suitability modeling workflow. To address the challenges, this paper introduces PyLUSAT: Python for Land Use Suitability Analysis Tools. But, when it comes to building complicated land-use suitability models, these applications have several limitations, including operating system-dependence, lack of dedicated modules, insufficient reproducibility, and difficult, if not impossible, deployment on a computing cluster. Besides, PyLUSAT features cross-platform compatibility and high extensibility, allowing leveraging parallel computing in land-use suitability modeling, and permitting automation and customization.ĭesktop GIS applications, such as ArcGIS and QGIS, provide tools essential for conducting suitability analysis, an activity that is central in formulating a land-use plan. Results showed that PyLUSAT tools were two to ten times faster depending on the job's complexity while generating outputs with equivalent spatial accuracy. PyLUSAT tools were evaluated against comparable tools in ArcMap 10.4 with respect to accuracy and computational efficiency. In attempting to address the challenges, this paper introduces PyLUSAT: Python for Land Use Suitability Analysis Tools, an open-source package dedicated to fulfilling tasks in a suitability modeling workflow. When building complex suitability models with these applications, there are several limitations, including operating system (OS) dependency, lack of dedicated modules, less efficient model building process, and difficult, if not impossible, deployment on a computing cluster. Desktop software applications, such as ArcGIS and QGIS, provide GIS tools for conducting suitability analysis, a fundamental step in formulating a land-use plan.
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