Observation: #OpenSoftware spatial analytics tools (#QGIS, #GDAL, #GeoPandas)—despite heroic efforts from their developers—are frequently broken and/or unusable because of fragile and complex dependencies.
Research Questions:
Why has the open source spatial analytics ecosystem resisted greater centralization or coordination?
What social and material factors shape(d) these relationships?
How does popular proprietary software like ArcGIS distort open source alternatives?
Journals should not be satisfied with "upon reasonable request", and neither should reviewers. Review the code with the paper, at least in terms of documentation.
Just a friendly reminder that public code is not limited to open software. It encompasses policies and guidance that promote reuse and collaboration. 🌐
To ensure effective reuse, it's crucial to include the following policies and guidelines: