Summary and Schedule
The goal of this lesson is to provide an introduction to core geospatial data concepts. It is intended for learners who have no prior experience working with geospatial data, and as a pre-requisite for the R for Raster and Vector Data lesson . This lesson can be taught in approximately 75 minutes and covers the following topics:
- Introduction to raster and vector data format and attributes
- Examples of data types commonly stored in raster vs vector format
- Introduction to categorical vs continuous raster data and multi-layer rasters
- Introduction to the file types and R packages used in the remainder of this workshop
- Introduction to coordinate reference systems and the PROJ4 format
- Overview of commonly used programs and applications for working with geospatial data
The Introduction to R for Geospatial Data lesson provides an introduction to the R programming language while the R for Raster and Vector Data lesson provides a more in-depth introduction to visualization (focusing on geospatial data), and working with data structures unique to geospatial data. The R for Raster and Vector Data lesson assumes that learners are already familiar with both geospatial data concepts and the core concepts of the R language.
| Setup Instructions | Download files required for the lesson | |
| Duration: 00h 00m | 1. Introduction to Raster Data |
What format should I use to represent my data? What are the main data types used for representing geospatial data? What are the main attributes of raster data? |
| Duration: 00h 25m | 2. Introduction to Vector Data | What are the main attributes of vector data? |
| Duration: 00h 40m | 3. Coordinate Reference Systems | What is a coordinate reference system and how do I interpret one? |
| Duration: 00h 55m | 4. The Geospatial Landscape | What programs and applications are available for working with geospatial data? |
| Duration: 01h 05m | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
Setup instructions for this workshop are available from the Data Carpentry Geospatial Workshop Overview site.