🤖 AI Summary
Academic map production is often hindered by fragmented workflows and reliance on complex tools, resulting in high barriers to entry and poor reproducibility. This work proposes acadgis, an integrated Python-based mapping package built upon the scientific computing stack that streamlines the entire cartographic pipeline—from boundary acquisition and data linkage to thematic rendering, automated layout, legend annotation, and multi-format export. The package incorporates built-in Earth observation datasets and a version-locking mechanism to ensure reproducibility. By enabling concise, auditable scripting, acadgis substantially lowers technical barriers and facilitates the efficient creation of publication-quality maps. Its effectiveness has been demonstrated across three representative research scenarios.
📝 Abstract
Academic and project maps are often produced through a fragmented workflow: researchers locate boundaries, manage shapefiles, join tabular data, assemble locator insets, add cartographic decorations, and export figures through desktop GIS or multi-package Python scripts. This creates an accessibility barrier for non-GIS users and a reproducibility problem when data sources, styling choices, and manual edits are not captured in executable form. We present AcadGIS, a free and open-source Python package that creates publication-oriented research maps from high-level commands under one namespace, import acadgis as agis. AcadGIS provides place-name boundary access, automated study-area locator layouts, thematic cartography, raster and vector layers, curated Earth-observation products, terrain and hydrology context, and configurable PNG, PDF, and SVG export without requiring desktop GIS expertise or hand-managed shapefiles. Its design combines one-import access to the scientific-Python stack, publication-oriented defaults with progressive control, local caching, source attribution, and figure specifications based on code, named data, and a pinned package version. Through three representative use cases, we demonstrate how common paper, thesis, and project maps can be expressed as compact, inspectable scripts. Source code: https://github.com/riponcm/AcadGIS.