AcadGIS is presented, a free and open-source Python package that creates publication-oriented research maps from high-level commands under one namespace, import acadgis as agis, and 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.
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.
Abstract. GIS data is inherently multi-dimensional, involving space, time, and attributes, and interpreting it usually requires considerable time and expertise. Many users of web-mapping platforms struggle at the visualization stage, where they must interpret the data, choose appropriate visualization methods, and defi...
Arissara Sompita· The International Archives o...· 0 citations
The ellipsoidal geometry, the CPU/GPU-capable resampling architecture, and the implementation of metadata fields defined by CF 1.13 and version 1 of the Pilot Zarr DGGS convention are described, establishing ellipsoidal HEALPix/Zarr as a common representation that connects climate and Digital Twin Earth datasets with e...
Tina Odaka, J. Delouis, Justus Magin et al.· The International Archives o...· 0 citations
A web-based pathway that communicates strata lots and common property consistently across levels in a standard browser without installs is presented, lowering access barriers for agencies and owners while aligning with 3D CSDM’s web-first direction.
Pavan Sai Goud Goddu, S. Zlatanova, M. Kalantari· ISPRS Annals of the Photogra...· 0 citations
The African Bird Atlas Project (ABAP) represents one of the largest citizen-science biodiversity monitoring initiatives, generating large-scale bird occurrence and survey datasets across the African continent. However, utilizing this pentad-scale map data for high-level analysis or publication often requires complex...
Bello A. Danmallam, Michael Brooks, U. Ottosson· Frontiers in Bird Science· 0 citations
Background Automated record linkage is often defined as applying a single threshold to classify candidate record pairs as matches or non-matches, in contrast to the Fellegi–Sunter two-threshold approach that relies on manual review for uncertain pairs. However, eliminating manual review alone does not constitute fully...
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Ten simple rules for non-visual bioinformatics are presented, covering plots as decision records, cautious use of AI-generated figure descriptions, accessible computing environments, text-first literate programming, structured data and metadata, compact object summaries, accessible publication formats, collaboration pr...
Jacqueline G. Kientsch, S. Neuhauss, I. Mallona· 0 citations
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