07-10, 11:30–12:30 (Europe/Amsterdam), Struct (1.4)
The Julia ecosystem for handling geospatial data and analysis is growing and improving. This is a session for anyone interested in geo in Julia to meet package contributors and users to discuss future direction and collaboration efforts.
In this community building session we aim to:
- Hear what people are doing in Julia and Geo
- Develop group goals and common understanding for ecosystem coherence
- Uncover gaps and rough edges in the ecosystem
- Lower the barrier to getting involved
A rough program:
- Introductions: what are you using Julia for, in three words
- Show and tell: share your geo packages and projects that don't have their own JuliaCon talks
- The good, the bad and the ugly in Julia geospatial: a constructive session of gripe-driven development
- Slido poll with questions on datasets, pain points, nice things, integrations, major wishes for the ecosystem
Rafael is an Ecologist at the Center for Macroecology, Climate and Evolution in Copenhagen. He works on process-based ecological models of species distributions, dispersal, threats and extinction, and contributes to a variety of geospatial, modelling and visualization packages.
- DimensionalData.jl: named dimensions for julia data
- Interfaces.jl: base and package interface tests for your objects
- Rasters.jl: raster data and GIS tools for julia
- What’s new with GeoInterface.jl: traits for interoperability
- GeometryOps.jl: Building a Comprehensive Native Geometry Package
- SpeciesDistributionModels.jl: an SDM workflow
I'm a researcher at Deltares and an external PhD candidate in the 3dgeoinfo research group at the Delft University of Technology. I have earned a Master of Science degree in Geomatics with honors.
My research concerns elevation modelling, especially in lowlands prone to coastal flooding. I aim to combine my interests in remote sensing and software engineering for societal impact. Currently, I'm working on applying data from ICESat-2—a lidar satellite—on global elevation models.
Felix Cremer received his diploma in mathematics from the University of Leipzig in 2014. In 2016 he started his PhD study on time series analysis of hypertemporal Sentinel-1 radar data.
He is interested in the use of irregular time series tools on Synthetic Aperture Radar data to derive more robust information from these data sets.
He worked on the development of deforestation mapping algorithms and on flood mapping in the amazon using Sentinel-1 data.
He currently works at the Max-Planck-Institute for Biogeochemistry on the development of the JuliaDataCubes ecosystem in the scope of the NFDI4Earth project. The JuliaDataCubes organisation provides easy to use interfaces for the use of multi dimensional raster data