Multiuser GIS and Practical Workflow Replicability

Replicability and reproducibility (R&R) have always been core requirements of scientific research. Recently, cases of failure to replicate previously published findings have received widespread public attention. As research grows more complex and increasingly reliant on data and software, concerns about replicability will grow rather than diminish. For example, different software packages may produce different results even when the same technique of spatial analysis is applied to the same data or analysis results cannot be reproduced by the same software due to the lack of proper metadata or provenance documenting the spatial processing and parameters used. Geospatial researchers may need to be especially concerned about replicability, such as when results from one geographic area fail to be replicated in other geographic areas.

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Last Updated September 16, 2021, 15:12 (UTC)
Created September 16, 2021, 14:59 (UTC)