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#qgisprocess β€” Public Fediverse posts

Live and recent posts from across the Fediverse tagged #qgisprocess, aggregated by home.social.

  1. In preparation of πŸ“¦ 0.4.0 was released on CRAN last week:

    πŸ‘‰ faster loading and less overhead
    πŸ‘‰ new vignette about passing R objects to processing algorithms
    πŸ‘‰ new vignette about package settings

    🌐 r-spatial.github.io/qgisproces

  2. In preparation of #useR2024 πŸ“¦ #qgisprocess 0.4.0 was released on CRAN last week:

    πŸ‘‰ faster loading and less overhead
    πŸ‘‰ new vignette about passing R objects to #QGIS processing algorithms
    πŸ‘‰ new vignette about package settings

    🌐 r-spatial.github.io/qgisproces

    #rstats #rspatial

  3. In preparation of #useR2024 πŸ“¦ #qgisprocess 0.4.0 was released on CRAN last week:

    πŸ‘‰ faster loading and less overhead
    πŸ‘‰ new vignette about passing R objects to #QGIS processing algorithms
    πŸ‘‰ new vignette about package settings

    🌐 r-spatial.github.io/qgisproces

    #rstats #rspatial

  4. In preparation of #useR2024 πŸ“¦ #qgisprocess 0.4.0 was released on CRAN last week:

    πŸ‘‰ faster loading and less overhead
    πŸ‘‰ new vignette about passing R objects to #QGIS processing algorithms
    πŸ‘‰ new vignette about package settings

    🌐 r-spatial.github.io/qgisproces

    #rstats #rspatial

  5. In preparation of #useR2024 πŸ“¦ #qgisprocess 0.4.0 was released on CRAN last week:

    πŸ‘‰ faster loading and less overhead
    πŸ‘‰ new vignette about passing R objects to #QGIS processing algorithms
    πŸ‘‰ new vignette about package settings

    🌐 r-spatial.github.io/qgisproces

    #rstats #rspatial

  6. Users of #rstats πŸ“¦ #qgisprocess are invited to reference case studies at the package homepage! :rstats: :qgis:

    Either reply here or in issue github.com/r-spatial/qgisproce

    #rspatial #qgis

  7. Users of πŸ“¦ are invited to reference case studies at the package homepage! :rstats: :qgis:

    Either reply here or in issue github.com/r-spatial/qgisproce

  8. Users of #rstats πŸ“¦ #qgisprocess are invited to reference case studies at the package homepage! :rstats: :qgis:

    Either reply here or in issue github.com/r-spatial/qgisproce

    #rspatial #qgis

  9. Users of #rstats πŸ“¦ #qgisprocess are invited to reference case studies at the package homepage! :rstats: :qgis:

    Either reply here or in issue github.com/r-spatial/qgisproce

    #rspatial #qgis

  10. Users of #rstats πŸ“¦ #qgisprocess are invited to reference case studies at the package homepage! :rstats: :qgis:

    Either reply here or in issue github.com/r-spatial/qgisproce

    #rspatial #qgis

  11. Happy that we @inbo supported πŸš€ faster πŸš€ qgis_process + #GRASSGIS Provider + overall startup time in #QGIS 3.36 !

    changelog.qgis.org/en/qgis/ver

    Great work @nyalld! πŸ‘Œ

    This significantly benefits startup time of R πŸ“¦ #qgisprocess πŸ™‚ r-spatial.github.io/qgisproces

    πŸ‘‰ Feature request: github.com/qgis/QGIS/issues/54.

    #rspatial #gischat

  12. Happy that we @inbo supported πŸš€ faster πŸš€ qgis_process + Provider + overall startup time in 3.36 !

    changelog.qgis.org/en/qgis/ver

    Great work @nyalld! πŸ‘Œ

    This significantly benefits startup time of R πŸ“¦ πŸ™‚ r-spatial.github.io/qgisprocess

    πŸ‘‰ Feature request: github.com/qgis/QGIS/issues/54.

  13. Happy that we @inbo supported πŸš€ faster πŸš€ qgis_process + #GRASSGIS Provider + overall startup time in #QGIS 3.36 !

    changelog.qgis.org/en/qgis/ver

    Great work @nyalld! πŸ‘Œ

    This significantly benefits startup time of R πŸ“¦ #qgisprocess πŸ™‚ r-spatial.github.io/qgisproces

    πŸ‘‰ Feature request: github.com/qgis/QGIS/issues/54.

    #rspatial #gischat

  14. Happy that we @inbo supported πŸš€ faster πŸš€ qgis_process + #GRASSGIS Provider + overall startup time in #QGIS 3.36 !

    changelog.qgis.org/en/qgis/ver

    Great work @nyalld! πŸ‘Œ

    This significantly benefits startup time of R πŸ“¦ #qgisprocess πŸ™‚ r-spatial.github.io/qgisproces

    πŸ‘‰ Feature request: github.com/qgis/QGIS/issues/54.

    #rspatial #gischat

  15. Happy that we @inbo supported πŸš€ faster πŸš€ qgis_process + #GRASSGIS Provider + overall startup time in #QGIS 3.36 !

    changelog.qgis.org/en/qgis/ver

    Great work @nyalld! πŸ‘Œ

    This significantly benefits startup time of R πŸ“¦ #qgisprocess πŸ™‚ r-spatial.github.io/qgisproces

    πŸ‘‰ Feature request: github.com/qgis/QGIS/issues/54.

    #rspatial #gischat

  16. #GRASSGIS algorithms used to be named as 'grass7:<algorithm>' in #QGIS. But they also work with GRASS GIS 8!

    Since QGIS 3.36 the provider is named... 'grass' ! Just use the algorithm syntax 'grass:<algorithm>'.

    Example with R πŸ“¦ #qgisprocess: r-spatial.github.io/qgisproces

    #rspatial #rstats

  17. algorithms used to be named as 'grass7:<algorithm>' in . But they also work with GRASS GIS 8!

    Since QGIS 3.36 the provider is named... 'grass' ! Just use the algorithm syntax 'grass:<algorithm>'.

    Example with R πŸ“¦ : r-spatial.github.io/qgisproces

  18. #GRASSGIS algorithms used to be named as 'grass7:<algorithm>' in #QGIS. But they also work with GRASS GIS 8!

    Since QGIS 3.36 the provider is named... 'grass' ! Just use the algorithm syntax 'grass:<algorithm>'.

    Example with R πŸ“¦ #qgisprocess: r-spatial.github.io/qgisproces

    #rspatial #rstats

  19. #GRASSGIS algorithms used to be named as 'grass7:<algorithm>' in #QGIS. But they also work with GRASS GIS 8!

    Since QGIS 3.36 the provider is named... 'grass' ! Just use the algorithm syntax 'grass:<algorithm>'.

    Example with R πŸ“¦ #qgisprocess: r-spatial.github.io/qgisproces

    #rspatial #rstats

  20. #GRASSGIS algorithms used to be named as 'grass7:<algorithm>' in #QGIS. But they also work with GRASS GIS 8!

    Since QGIS 3.36 the provider is named... 'grass' ! Just use the algorithm syntax 'grass:<algorithm>'.

    Example with R πŸ“¦ #qgisprocess: r-spatial.github.io/qgisproces

    #rspatial #rstats

  21. πŸ“¦ #qgisprocess 0.2.0 is on CRAN.

    Access #QGIS processing algorithms & other providers without leaving R = enhanced workflow reproducibility !

    This version adds I/O support for terra SpatVector(Proxy) objects.

    🌐 r-spatial.github.io/qgisproces

    Introduced in fosstodon.org/@florisvdh/11090

    #rspatial #rstats #gischat

  22. πŸ“¦ 0.2.0 is on CRAN.

    Access processing algorithms & other providers without leaving R = enhanced workflow reproducibility !

    This version adds I/O support for terra SpatVector(Proxy) objects.

    🌐 r-spatial.github.io/qgisprocess

    Introduced in fosstodon.org/@florisvdh/11090

  23. πŸ“¦ #qgisprocess 0.2.0 is on CRAN.

    Access #QGIS processing algorithms & other providers without leaving R = enhanced workflow reproducibility !

    This version adds I/O support for terra SpatVector(Proxy) objects.

    🌐 r-spatial.github.io/qgisproces

    Introduced in fosstodon.org/@florisvdh/11090

    #rspatial #rstats #gischat

  24. πŸ“¦ #qgisprocess 0.2.0 is on CRAN.

    Access #QGIS processing algorithms & other providers without leaving R = enhanced workflow reproducibility !

    This version adds I/O support for terra SpatVector(Proxy) objects.

    🌐 r-spatial.github.io/qgisproces

    Introduced in fosstodon.org/@florisvdh/11090

    #rspatial #rstats #gischat

  25. πŸ“¦ #qgisprocess 0.2.0 is on CRAN.

    Access #QGIS processing algorithms & other providers without leaving R = enhanced workflow reproducibility !

    This version adds I/O support for terra SpatVector(Proxy) objects.

    🌐 r-spatial.github.io/qgisproces

    Introduced in fosstodon.org/@florisvdh/11090

    #rspatial #rstats #gischat

  26. Just discovered: the FOSS4G 2023 talk on R packages {#qgisprocess} and {qgis} has been online for a while πŸ™ƒ.

    Access #QGIS processing algorithms from R. No need for a QGIS project = enhanced reproducibility! Includes powerful tools like GRASS GIS, SAGA, PCRaster, etc.

    πŸ“½οΈ youtube.com/watch?v=Qt5DzWThWq

    - 🎞️ florisvdh.github.io/foss4g-202
    - πŸ“¦ r-spatial.github.io/qgisproces
    - Acknowledgements ❀️ : fosstodon.org/@florisvdh/11090

    #rstats #rspatial

  27. Just discovered: the FOSS4G 2023 talk on R packages {} and {qgis} has been online for a while πŸ™ƒ.

    Access processing algorithms from R. No need for a QGIS project = enhanced reproducibility! Includes powerful tools like GRASS GIS, SAGA, PCRaster, etc.

    πŸ“½οΈ youtube.com/watch?v=Qt5DzWThWqI

    - 🎞️ florisvdh.github.io/foss4g-202
    - πŸ“¦ r-spatial.github.io/qgisprocess
    - Acknowledgements ❀️ : fosstodon.org/@florisvdh/11090

  28. Just discovered: the FOSS4G 2023 talk on R packages {#qgisprocess} and {qgis} has been online for a while πŸ™ƒ.

    Access #QGIS processing algorithms from R. No need for a QGIS project = enhanced reproducibility! Includes powerful tools like GRASS GIS, SAGA, PCRaster, etc.

    πŸ“½οΈ youtube.com/watch?v=Qt5DzWThWq

    - 🎞️ florisvdh.github.io/foss4g-202
    - πŸ“¦ r-spatial.github.io/qgisproces
    - Acknowledgements ❀️ : fosstodon.org/@florisvdh/11090

    #rstats #rspatial

  29. Just discovered: the FOSS4G 2023 talk on R packages {#qgisprocess} and {qgis} has been online for a while πŸ™ƒ.

    Access #QGIS processing algorithms from R. No need for a QGIS project = enhanced reproducibility! Includes powerful tools like GRASS GIS, SAGA, PCRaster, etc.

    πŸ“½οΈ youtube.com/watch?v=Qt5DzWThWq

    - 🎞️ florisvdh.github.io/foss4g-202
    - πŸ“¦ r-spatial.github.io/qgisproces
    - Acknowledgements ❀️ : fosstodon.org/@florisvdh/11090

    #rstats #rspatial

  30. Just discovered: the FOSS4G 2023 talk on R packages {#qgisprocess} and {qgis} has been online for a while πŸ™ƒ.

    Access #QGIS processing algorithms from R. No need for a QGIS project = enhanced reproducibility! Includes powerful tools like GRASS GIS, SAGA, PCRaster, etc.

    πŸ“½οΈ youtube.com/watch?v=Qt5DzWThWq

    - 🎞️ florisvdh.github.io/foss4g-202
    - πŸ“¦ r-spatial.github.io/qgisproces
    - Acknowledgements ❀️ : fosstodon.org/@florisvdh/11090

    #rstats #rspatial