Reviewers:
Overview
About
Add description.
R Skill Level: Intermediate - you’ve got the basics of R down.
Goals / Objectives
After completing this activity, you will:
- Understand that different spatial data types & associated file types require different tools to work with them.
Things You’ll Need To Complete This Lesson
To complete this lesson you will need the most current version of R, and preferably, RStudio loaded on your computer.
Install R Packages
-
NAME:
install.packages("NAME")
Download Data
EDIT AS NEEDED
The LiDAR and imagery data used to create this raster teaching data subset were collected over the National Ecological Observatory Network’s Harvard Forest and San Joaquin Experimental Range field sites and processed at NEON headquarters. The entire dataset can be accessed by request from the NEON Airborne Data Request Page on the NEON website.
Set Working Directory: This lesson assumes that you have set your working
directory to the location of the downloaded and unzipped data subsets. An overview
of setting the working directory in R can be found here..
R Script & Challenge Code: NEON data lessons often contain challenges that reinforce
learned skills. If available, the code for challenge solutions is found in the
downloadable R script of the entire lesson, available in the footer of each lesson page.
Spatial-Temporal Data & Data Management Lesson Series: This lesson is part
of a lesson series introducing
spatial data and data management in R .
It is also part of a larger
spatio-temporal Data Carpentry Workshop
that includes working with
raster data in R ,
vector data in R
and
tabular time series in R .
Additional Resources
##raster
##rgdal
##rastervis - time series plotting
##Set up working directory - «link to working directory page??>