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itβs based on my book "Building reproducible analytical pipelines with #rstats (https://raps-with-r.dev/)
Iβll quickly walk you through how you can use {renv}, {targets} and #Docker to make your #RStats project reproducible!
#reproducibility #reproducibleresearch
Building reproducible analytical pipelines with R
Bruno Rodrigues will showcase how analytical pipelines in R can help to make research more reproducibleEventbrite
http://sdss2023.spatial-data-science.net/#cfpapers
Spatial Data Science Symposium 2023
September 5-6 | Distributed & Online. The symposium aims to bring together researchers from both academia and industry to discuss experiences, insights, methodologies, and applications, taking spatial and temporal knowledge into account while addresβ¦sdss2023.spatial-data-science.net
1οΈβ£ Using @movingpandas with local image coordinates
2οΈβ£ Georeferencing video-based trajectories using @qgis VectorBender plugin
https://anitagraser.com/2023/05/21/analyzing-video-based-bicycle-trajectories/
#bicycle tracks extracted from #video footage π₯ courtesy of @mszll
#QGIS #GISChat #MobilityAnalytics #mobility #datascience #MovementDataAnalytics
Analyzing video-based bicycle trajectories
Did you know that MovingPandas also supports local image coordinates? Indeed, it does. In todayβs post, we will explore how we can use this feature to analyze bicycle tracks extracted from viβ¦Free and Open Source GIS Ramblings
Resources
β‘οΈ Source code: https://github.com/RamiKrispin/sfo
β‘οΈ Documentation: https://ramikrispin.github.io/sfo/
#rstats #timeseries #forecasting #DataScience
GitHub - RamiKrispin/sfo: Package for tracking SFO airport statistics
Package for tracking SFO airport statistics. Contribute to RamiKrispin/sfo development by creating an account on GitHub.GitHub
Introduction to Environmental Data Science
Background, methods and exercises for using R for environmental data science. The focus is on applying the R language and various libraries for data abstraction, transformation, data analysis, spatial data/mapping, statistical modeling, and time seriβ¦bookdown.org
#DataScience proof of concept blog post is finally ready: https://anitagraser.com/2023/02/25/tracking-geoprocessing-workflows-with-qgis-dvc/
including source code and demo video
Let me know what you think. Is it worth looking into automatic #QGIS modeler to #DVC export?
#gischat #datascience #geoprocessing #dataengineering #gis
Tracking geoprocessing workflows with QGIS & DVC
Todayβs post is a geeky deep dive into how to leverage DVC (not just) data version control to track QGIS geoprocessing workflows. βWhy is this great?β you may ask. DVC tracks dataβ¦Free and Open Source GIS Ramblings
#DataScience proof of concept:Turned a simple QGIS Processing model into a #DVC data-versioned #geoprocessing workflow
"Why is this great?" you may ask β
DVC tracks data, parameters, and code. If anything changes, we simply rerun the process and DVC will figure out which stages need to be recomputed and which can be skipped by re-using cached results.
This can lead to huge time savings compared to re-running the whole model π©βπ»π₯³
Free Book is Available Now!
https://github.com/aibooks14/Python1
MT @Free_AI_Books #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Programming #Coding #100DaysofCode #Innovation
GitHub - aibooks14/Python1
Contribute to aibooks14/Python1 development by creating an account on GitHub.GitHub