katemmiller Goto Github PK
Name: Kate Miller
Type: User
Name: Kate Miller
Type: User
This is a test repo to demonstrate how to use github to share code and for version control.
This repo contains markdown and html files used to train the 2020 Forest Crew how to use R and analyze MIDN forest data using the forestMIDN package. The website listed here shows the training document we used.
Package for importing, joining and querying MIDN forest database tables
This package was originally called forestMIDN and was designed to connect with the original Access-based NETN forest backend database. It is now being archived and forestMIDN is being updated to work with the new SQL-based backend.
Package for importing, joining and querying NETN forest database tables
This package was originally called forestNETN and was designed to connect with the original Access-based NETN forest backend database. It is now being archived and forestNETN is being updated to work with the new SQL-based backend.
Quality Assurance/Quality Control checks and reports for long-term Forest Monitoring protocols in the Northeast Temperate and Mid-Atlantic Networks.
Package for using case bootstrap to assess temporal trends with fixed plot data.
Advanced R Training for the NPS Inventory and Monitoring Division
Introduction to R Training for the NPS Inventory and Monitoring Division
R Code and R Markdown files used for invasive trend analysis.
GitHub landing page
This repo is a lightweight shiny app to view MIDN forest plot photopoints. Contact me for the url.
Miscellaneous R scripts without a home in other repos or packages.
This is a WIP repo to try converting map-based summaries in QGIS/ArcGIS to R Markdown reports
Training materials for learning R and working with Northeast Temperate Network data.
R Code used in Regeneration Debt Analysis
Package for importing, summarizing and plotting rocky intertidal data
What the Package Does (One Line, Title Case)
WIP repo to house gamm analyses of tree ring data
Package for importing, querying, summarizing and visualizing NETN water monitoring and climate data
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