GEOSTAT 2018 - links and slides

Monday

Roger Bivand: “A practical history of R-sig-geo”

• repo
• video

Edzer Pebesma: "New R packages for spatial and spatiotemporal vector and raster data"

• slides
• video

Tim Appelhans: "Introduction to mapview and mapedit"

• repo
• video

Robin Lovelace: “Geocomputation with R”

• slides
• video

Hanna Meyer: "Machine-learning based modelling of spatial and spatio-temporal data"

• slides
• video

Tom Hengl: "Machine Learning as a generic framework for spatial prediction"

• slides
• tutorial
• article
• video

Tuesday

Edzer Pebesma: "Simple features for R / tidy spatial analysis"

• slides
• video 1
• video 2

Tim Appelhans: “Using mapview and mapedit to visualise and edit geo-spatial data interactively in R”

• repo
• video

Hanna Meyer: "Machine-learning based modelling of spatial and spatio-temporal data" (practical)

• slides
• exercise A
• exercise B
• data for exercise A
• video

Jianghao Wang: Urban Sensing and Computing - Big Data Analytic with Open Source Software

• slides
• video

Wednesday

Jakub Nowosad: “GeoPAT 2 - analysis of spatial and temporal patterns”

• slides
• video

Robin Lovelace: “Integrating spatial data in dplyr workflows: pitfalls and potential”

• slides
• video

Jannes Münchow: “R-GIS bridges: the examples of RQGIS and RSAGA”

• repo
• video

Jannes Münchow: “The importance of spatial cross-validation in predictive modeling”

• repo
• video

Robin Lovelace, Jakub Nowosad, Jannes Münchow: "Geocomputation with R - book unlaunch"

• video

Thursday

Markus Neteler: “Analysing environmental data with GRASS GIS” (practicals)

• website
• video

Veronica Andreo: "Spatiotemporal data processing and visualization in GRASS GIS"

• slides
• repo
• video

Tomislav Hengl: “Computing with large rasters in R: tiling, parallelization, optimization”

• slides
• tutorial
• video

Edzer Pebesma: “Scalable raster data analysis in the cloud with R”

• notes
• video

Friday

Tomislav Hengl: "Mapping species distribution using Machine Learning"

• article
• tutorial
• video

Chris Reudenbach: "Link2GI - consistent linking of Open Source GIS with R"

• repo
• video

Roger Bivand: "Process scale and autocorrelation"

• repo

Interviews

• Veronica Andreo
• Roger Bivand
• Tim Appelhans
• Hanna Meyer
• Chris Reudenbach
• Robin Lovelace
• Jakub Nowosad
• Jannes Muenchow
• Marcus Neteler
• Matej Man
• Tom Hengl
• Edzer Pebesma

Additional links

• The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments
• A nice toolbox based on R and GRASS GIS for mapping and modeling invasive species through remote sensing (LiDAR and Hyperspectral)
• To handle large polygons and compute with larger stacks of rasters use: (a) fasterize, and (b) tabularaster.