Co-visualization and Visual Analytics of climate/weather-prediction simulation & spatial data. (Postdoc – 16 months), IGN-France, LaSTIG, GeoVIS Team
Visual reasoning for climate simulation understanding, based on co-visualization of climate and spatial data.
We are seeking a postdoc on covisualization of climate simulation & spatial data for the ERA4CS European project URban CLIMate Services (URCLIM – 2017-2020). URCLIM aims at designing methods and tools to assess the impacts of the climate change on urban spaces, based on the simulation and analysis of complex and imprecise phenomena, through space and time. Researchers in Meteorology and in Geographic Information Sciences (GI Sciences) converge to visually integrate, interact with and analyze, geographic data describing the urban spaces and data simulating the climate.
The purpose of the post-doc is to facilitate the interactive exploration of spatial data and climate simulation results with various points of view, in order to support visual spatio-temporal reasoning. The visual analysis of the interactions between climate/weather-prediction and topography, such as climate models explanation and comparison, require methods at the city block level:
- to co-visualize such heterogeneous data (temporality, precision, dimension, uncertainties).
- to identify, detect and explain breaks, change events and interactions between data.
- to explore and compare simulation scenarios and cities to support decision.
Innovative interaction and visualization methods have to be designed, in order to handle, adapt and optimize the geovisualization of climate data, accordingly to various use contexts and stakeholders of the URCLIM project, mainly meteorology researchers but also urban planners and citizens.
The approach in the project is to cross knowledge on spatial, topographic and climate/weather-prediction data, based on visualization scenarios for urban climate services elaborated within the UrCLIM project.
The main task concerns the co-visualization of climate and spatial data, mainly at the city block level, in 2D or 3D, enabling visual reasoning of climate phenomena.
The post-doc will propose how to improve the visual analytics of the possible interactions between climate and topographic data, in managing their visual integration and their graphic representation. Issues of 3D graphic semiology, real time rendering, and interactive techniques are at stake here, in order to explore urban climate, data models and phenomena. A particular focus will be given on the control of the visual propagation of uncertainties, based on graphic semiology knowledge and/or innovative interaction techniques to explore, highlight or analyze uncertainties.
The post-doc will implement the methods into the existing open source iTowns 3D geospatial data visualization framework, that we have been extending at the IGN LaSTIG Geovis Team into iTowns Research.
Expected profile & skills
PhD thesis in Geographic Information Sciences, Information Visualization, Human-Computer Interaction or Computer Graphics.
Interests for climate change and meteorological simulations.
The postdoc is funded by the ERA4CS URCLIM project and will take place at the Laboratory of Sciences and Technologies in GI Sciences (LaSTIG) of IGN-France, GeoVIS team, in Saint-Mandé (94, close to Paris), France. 16 months, starting as soon as possible in 2019.
To apply, please submit a CV, a motivation letter and a link to the PhD thesis and main publications to Sidonie Christophe, senior researcher in GI Sciences & Geovisualization at the IGN/LASTIG: sidonie dot christophe at ign dot fr.