HELP: xid+, the probabilistic de-blender forHerschelSPIRE maps

HELP: XID+, the probabilistic de-blender for Herschel SPIRE maps

We have developed a new prior-based source extraction tool, XID+, to carry out photometry in the Herschel SPIRE (Spectral and Photometric Imaging Receiver) maps at the positions of known sources. XID+ is developed using a probabilistic Bayesian framework that provides a natural framework in which to include prior information, and uses the Bayesian inference tool Stan to obtain the full posterio...

Blender for robotics and robotics for Blender

Computer animation and robotics have most of their mathematical foundations in common. So, Blender is a natural (but still undiscovered and imperfect) GUI candidate for robot simulation and programming. The robotics research community lacks an advanced graphical tool such as Blender, but, on the other hand, it has more advanced and efficient algorithms than Blender for the physically realistic ...

Probabilistic Topological Maps

The Space of Probabilistic 1-lipschitz Maps

We introduce and study a natural notion of probabilistic 1Lipschitz maps. We prove that the space of all probabilistic 1-Lipschitz maps defined on a probabilistic metric space G is also a probabilistic metric space. Moreover, when G is a group, then the space of all probabilistic 1-Lipschitz maps defined on G can be endowed with a monoid structure. Then, we caracterize the probabilistic invaria...

GeoViz: interactive maps that help people think

This issue of IJGIS showcases research activities related to how map displays can support users in visuospatial decision making for solving complex spatiotemporal problems. It represents a selection of the contributions made to a dedicated scientific workshop organized by the International Cartographic Association (ICA) Commissions on Geovisualization and Cognitive Visualization. The workshop w...