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Vector 01: Explore Shapefile Attributes & Plot Shapefile Objects by Attribute Value in R
Vector 01: Explore Shapefile Attributes & Plot Shapefile Objects by Attribute Value in R This tutorial explains what shapefile attributes are and how to work with shapefile attributes in R. It also covers how to identify and query shapefile attributes, as 鈥� - 3377
Vector 02: Plot Multiple Shapefiles and Create Custom Legends in Base Plot in R
Vector 02: Plot Multiple Shapefiles and Create Custom Legends in Base Plot in R This tutorial builds upon the previous tutorial , to work with shapefile attributes in R and explores how to plot multiple shapefiles using base R graphics. It then covers how 鈥� - 3378
Vector 03: When Vector Data Don't Line Up - Handling Spatial Projection & CRS in R
Vector 03: When Vector Data Don't Line Up - Handling Spatial Projection & CRS in R In this tutorial, we will create a base map of our study site using a United States state and country boundary accessed from the United States Census Bureau . We will learn 鈥� - 3379
Vector 04: Convert from .csv to a Shapefile in R
Vector 04: Convert from .csv to a Shapefile in R This tutorial will review how to import spatial points stored in .csv (Comma Separated Value) format into R as a spatial object - a SpatialPointsDataFrame . We will also reproject data imported in a 鈥� - 3380
Vector 05: Crop Raster Data and Extract Summary Pixels Values From Rasters in R
Vector 05: Crop Raster Data and Extract Summary Pixels Values From Rasters in R This tutorial explains how to crop a raster using the extent of a vector shapefile. We will also cover how to extract values from a raster that occur within a set of polygons, 鈥� - 3381
Time Series 00: Intro to Time Series Data in R - Managing Date/Time Formats
Time Series 00: Intro to Time Series Data in R - Managing Date/Time Formats This tutorial will demonstrate how to import a time series dataset stored in .csv format into R. It will explore data classes for columns in a data.frame and will walk through how 鈥� - 3382
Time Series 01: Why Metadata Are Important: How to Work with Metadata in Text & EML Format
Time Series 01: Why Metadata Are Important: How to Work with Metadata in Text & EML Format This tutorial covers what metadata are, and why we need to work with metadata. It covers the 3 most common metadata formats: text file format, web page format and 鈥� - 3383
Time Series 02: Dealing With Dates & Times in R - as.Date, POSIXct, POSIXlt
Time Series 02: Dealing With Dates & Times in R - as.Date, POSIXct, POSIXlt This tutorial explores working with date and time field in R. We will overview the differences between as.Date , POSIXct and POSIXlt as used to convert a date / time field in 鈥� - 3384
Time Series 03: Cleaning & Subsetting Time Series Data in R - NoData Values & Subset by Date
Time Series 03: Cleaning & Subsetting Time Series Data in R - NoData Values & Subset by Date This tutorial explores how to deal with NoData values encountered in a time series dataset, in R. It also covers how to subset large files by date and export the 鈥� - 3385
Time Series 04: Subset and Manipulate Time Series Data with dplyr
Time Series 04: Subset and Manipulate Time Series Data with dplyr In this tutorial, we will use the group_by , summarize and mutate functions in the dplyr package to efficiently manipulate atmospheric data collected at the NEON Harvard Forest Field Site. 鈥� - 3386
Time Series 05: Plot Time Series with ggplot2 in R
Time Series 05: Plot Time Series with ggplot2 in R This tutorial uses ggplot2 to create customized plots of time series data. We will learn how to adjust x- and y-axis ticks using the scales package, how to add trend lines to a scatter plot and how to 鈥� - 3387
Time Series 06: Create Plots with Multiple Panels, Grouped by Time Using ggplot Facets
Time Series 06: Create Plots with Multiple Panels, Grouped by Time Using ggplot Facets This tutorial covers how to plot subsetted time series data using the facets() function (e.g., plot by season) and to plot time series data with NDVI. Learning 鈥� - 3388
Time Series Culmination Activity: Plot using Facets & Plot NDVI with Time Series Data
Time Series Culmination Activity: Plot using Facets & Plot NDVI with Time Series Data This tutorial is a culmination activity for the series on working with tabular time series data in R . Refer to Data Carpentry's : Introduction to Geospatial Raster and 鈥� - 3389
Convert to Julian Day
Convert to Julian Day This tutorial defines Julian (year) day as most often used in an ecological context, explains why Julian days are useful for analysis and plotting, and teaches how to create a Julian day variable from a Date or Data/Time class 鈥� - 3390
Use the neonUtilities Package to Access NEON Data
Use the neonUtilities Package to Access NEON Data This tutorial provides an overview of functions in the neonUtilities package in R and the neonutilities package in Python. These packages provide a toolbox of basic functionality for working with NEON 鈥� - 3391
Create A Square Buffer Around a Plot Centroid in R
Create A Square Buffer Around a Plot Centroid in R Want to use plot centroid values (marking the center of a plot) in x,y format to get the plot boundaries of a certain size around the centroid? This tutorial is for you! If the plot is a circle, we can 鈥� - 3392
Image Raster Data in R - An Intro
Image Raster Data in R - An Intro This tutorial will walk you through the fundamental principles of working with image raster data in R. Learning Objectives After completing this activity, you will be able to: Import multiple image rasters and create a 鈥� - 3393
Raster Data in R - The Basics
Raster Data in R - The Basics This activity will walk you through the fundamental principles of working with raster data in R. Learning Objectives After completing this activity, you will be able to: Describe what a raster dataset is and its fundamental 鈥� - 3394
The Relationship Between Raster Resolution, Spatial Extent & Number of Pixels
The Relationship Between Raster Resolution, Spatial Extent & Number of Pixels Learning Objectives: After completing this activity, you will be able to: Explain the key attributes required to work with raster data including: spatial extent, coordinate 鈥� - 3395
Download a NEON Teaching Data Subset & Set A Working Directory In R
Download a NEON Teaching Data Subset & Set A Working Directory In R The primary goal of this tutorial is to explain how to set a working directory in R. The working directory is where your R session interacts with your hard drive. This is where you can 鈥� - 3396
Git 01: Intro to Git Version Control
Git 01: Intro to Git Version Control In this page, you will be introduced to the importance of version control in scientific workflows. ## Learning Objectives At the end of this activity, you will be able to: Explain what version control is and how it can 鈥� - 3397
Git 02: GitHub.com - Repos & Forks
Git 02: GitHub.com - Repos & Forks In this tutorial, we will fork, or create a copy in your github.com account, an existing GitHub repository. We will also explore the github.com interface. ## Learning Objectives At the end of this activity, you will be 鈥� - 3398
Git 03: Git Clone - Work Locally On Your Computer
Git 03: Git Clone - Work Locally On Your Computer This tutorial covers how to clone a github.com repo to your computer so that you can work locally on files within the repo. ## Learning Objectives At the end of this activity, you will be able to: Be able 鈥� - 3399
Git 04: Markdown Files
Git 04: Markdown Files This tutorial covers how create and format Markdown files. Learning Objectives At the end of this activity, you will be able to: Create a Markdown (.md) file using a text editor. Use basic markdown syntax to format a document 鈥� - 3400
Git 05: Git Add Changes - Commit
Git 05: Git Add Changes - Commit This tutorial reviews how to add and commit changes to a Git repo. ## Learning Objectives At the end of this activity, you will be able to: Add new files or changes to existing files to your repo. Document changes using 鈥�