Date11

Workflows：

Earth Observation Scientific Workflows in a Distributed Computing Environment

overcome the limitations of the desktop computer
via RPYC and the dynamic properties of the python programming language.
distributed resources such as cloud computing nodes.
through the use of remote objects and mobile code through RPyC.
automated scheduling and load balancing

FOSS geospatial libraries in scientific workflow environments: experiences and directions

In context of three sets of research (wildfire research, flood modelling and the linking of disease outbreaks to multi-scale environmental conditions)
complex calculations .collaborative environments.turned to the concept of scientific workflows
Open Geospatial Consortium (OGC) . Web Processing Service (WPS).QGIS

Wildfire research：

Links between environmental conditions and disease outbreak：

Flood simulation：