Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

ABSTRACT A cornerstone of the scientific method, the ability to reproduce and replicate the
results of research has gained widespread attention across the sciences in recent years. A …

Characterising and analysing urban morphology is a continuous task in urban data science,
environmental analyses, and many other domains. As the availability and quality of data on …

This paper reflects on a number of trends towards a more open and reproducible approach
to geographic and spatial data science over recent years. In particular, it considers trends …

O presente estudo descritivo tem como objetivo apresentar as dimensões da Ciência Aberta
e o impacto desse contexto na vida dos pesquisadores. O surgimento de revistas científicas …

The scientific method is predicated on the assumption that research designs and results can
be reproduced and replicated. However, recent findings in some disciplines suggest that …

The technological landscape for managing big Earth observation (EO) data ranges from
global solutions on large cloud infrastructures with web-based access to self-hosted …

Reproducible research is often perceived as a technological challenge, but it is rooted in the
challenge to improve scholarly communication in an age of digitization. When computers …

Scientific experiments and research practices vary across disciplines. The research
practices followed by scientists in each domain play an essential role in the …

Multiscale geographically weighted regression (MGWR) is an important method that is used
across many disciplines for exploring spatial heterogeneity and modeling local spatial …