johnypark / geospatialtemporal Goto Github PK

Collection of all useful sources about geospatial analysis in space and time.

• Spatial Data Science, by Edzer Pebesma, Roger Bivand, developers of R sf package. https://keen-swartz-3146c4.netlify.com/
• rnatural earth https://cran.r-project.org/web/packages/rnaturalearth/vignettes/rnaturalearth.html
• Mixed effects models and extensions in ecology with R: https://highstat.com/index.php/mixed-effects-models-and-extensions-in-ecology-with-r
• Download data used in the book from https://highstat.com/Books/Book2/ZuurDataMixedModelling.zip

https://www.nasa.gov/feature/goddard/2019/return-of-gedi-s-first-data-shows-forests-topography

• LAStools and LASzip
• Processing lidar data using QGIS, LAStools and R https://rstudio-pubs-static.s3.amazonaws.com/230154_30a0bbf22e2a49ecbfa1b72b2c7a8f96.html
• Web-based UI for opening and viewing raw point cloud http://plas.io/

• Setting GDAL_DATA http://clhenrick.github.io/thesis-blog/procrastination/portfolio-work/2014/09/27/procrastinating/
• build on Linux https://trac.osgeo.org/gdal/wiki/BuildingOnUnix
• Setting PATH and SYSTEM variables in R: https://cran.r-project.org/web/packages/openSTARS/vignettes/Warnings_and_Errors.html

• warpping up the starts project https://www.r-spatial.org/r/2019/03/30/stars4.html
• geocomputation with R https://geocompr.robinlovelace.net/
• R stars package https://github.com/r-spatial/stars

• note on using sf http://pierreroudier.github.io/teaching/20170626-Pedometrics/20170626-soil-data.html
• Sometimes, sp is faster than sf: https://twitter.com/symbolixAU/status/1150912584545009664

• https://www.mdpi.com/2306-5729/4/3/92
• gdalcubes repo https://github.com/appelmar/gdalcubes

https://www.jstatsoft.org/article/view/v088i05

https://github.com/johnypark/Class_Analysis_Temperature

https://github.com/johnypark/HomeValueAnalysis

https://www.r-spatial.org/r/2018/10/25/ggplot2-sf.html