datacarpentry
re-order Lesson
How could the content be improved?
We would like to re-arrange the episodes of the Lesson. This is based on teaching experience, discussion, and comments in the teaching notes about alternate orders.
There is also a beta-lesson in the Incubator that adopts a vector-first approach (GeoSpatial for Urbanism). I think this is pretty strong evidence that the community agrees.
Along the way, we at UC-Santa Barbara talked about making it fewer episodes. Here is a proposed new order. The numbers of the outline items are the originating Episode number.
1 Intro to Vector Data Project Setup 6 Import Vector Data 6 Spatial Data Attributes 6 Plot a vector layer 6 Vector Layer Metadata & Attributes 7 Query Vector Feature Metadata 7 Load the Data Single point shapefile 7 Explore Values within One Attribute Roads 7 Subset Features 7 Customize Plots Types of Roads 8 Load the Data 8 Plotting Multiple Vector Layers 9 Working With Spatial Data From Different Sources 9 Import US Boundaries - Census Data 9 Read US Boundary File 9 U.S. Boundary Layer
2 Intro to Raster Data 1 View Raster File Attributes 1 Open a Raster in R 1 Understanding CRS in Proj4 Format The presence of a crs is a strong indicator that you’re looking at Geo data 1 Calculate Raster Min and Max Values 1 Raster Bands 2 Plot Raster Data in R 2 Plotting Data Using Breaks 2 Layering Rasters 5 Getting Started with Multi-Band Data in R 5 Raster Stacks in R 5 SpatRaster in R
3 Customizing output 13 Before and After 13 Adjust the Plot Theme 13 Adjust the Color Ramp 13 Refine Plot & Tile Labels 13 Change Layout of Panels 4 Export a GeoTIFF New: Exporting data vs exporting graphics
4 Metadata and Projections 1 Dealing with Missing Data 1 Bad Data Values in Rasters 1 Create A Histogram of Raster Values 3 Raster Projection in R 3 Reproject Rasters 3 Deal with Raster Resolution 9 CRS Units - View Object Extent 9 Reproject Vector Data or No? 6 Spatial Metadata
5 Analysis 10 Spatial Data in Text Format 10 Import .csv 10 Identify X,Y Location Columns 10 .csv to sf object 10 Plot Spatial Object 10 Plot Extent 10 Export to an ESRI shapefile
6 Manipulating Rasters 11 Crop a Raster to Vector Extent 11 Crop a Raster Using Vector Extent 11 Define an Extent 11 Extract Raster Pixels Values Using Vector Polygons buffers 11 Summarize Extracted Raster Values 11 Extract Data using x,y Locations
7 Raster Calculations 4 Raster Calculations in R 4 Two Ways to Perform Raster Calculations 4 Raster Math & Canopy Height Models 12 About Raster Time Series Data 12 RGB Data 12 Plotting Time Series Data 12 Scale Factors 12 Take a Closer Look at Our Data 12 View Distribution of Raster Values 14 Extract Summary Statistics From Raster Data 14 Calculate Average NDVI 14 Extract Julian Day from row names 14 Convert Julian Day to Date Class 14 Plot NDVI Using ggplot 14 Compare NDVI from Two Different Sites in One Plot 14 Remove Outlier Data
