SPARC Workshops

SPARC Workshops

Each year, SPARC hosts an immersive workshop focused on a specific topic for experts from around the world to dive into. These workshops provide two days of deep discussions, discovery, networking and more.

Stay tuned to this page for announcements for the next SPARC workshop, which we hope to hold safely in 2021. In the meantime, please feel free to visit our archive of events, including video presentations and position papers.

Past workshops:

2020 - Scale and Spatial Analytics

Spatial Scale is one of a small number of quintessential geographic topics that defines geography as a discipline. We talk about the scale of a map with expressions such as a ‘small scale’ or ‘large scale’ study. We refer to the scale of a study area, implying its spatial extent. We talk about some descriptors being scale-invariant (fractal dimension) while others are seriously affected by the extent to which data are spatially aggregated (modifiable areal unit problem). When focusing on the processes underlying spatial patterns, we frequently describe some processes as operating on a local, regional or global scale. Although we frequently refer to scale, what exactly do we mean by this term and how can we measure the spatial scale at which different processes operate? Learn more about this workshop

2019 - Replicability and Reproducibility

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. Learn more about this workshop