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Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.
Data Carpentry’s teaching is hands-on, so participants are encouraged to use their own computers to ensure the proper setup of tools for an efficient workflow. To most effectively use these materials, please make sure to download the data and install everything before working through this lesson.
This workshop assumes no prior experience with the tools covered in the workshop. However, learners with prior experience working with geospatial data may be able to skip episodes 1-4, which focus on geospatial concepts and tools. Similarly, learners who have prior experience with the
Pythonprogramming language may wish to skip the Plotting and Programming in Python lesson.To get started, follow the directions in the Setup tab to get access to the required software and data for this workshop. {: .prereq}
The data used in this lesson includes optical satellite images from the Copernicus Sentinel-2 mission and public geographical datasets from the dedicated distribution platform of the Dutch government.
These are real-world data sets that entail sufficient complexity to teach many aspects of data analysis and management. They have been selected to allow students to focus on the core ideas and skills being taught while offering the chance to encounter common challenges with geospatial data.
Follow the directions in the Setup tab to download the required files. {: .prereq}
| Lesson Starting Points | Overview |
|---|---|
| [Episode 1: Introduction to Raster Data]({{ site.baseurl }}/01-intro-raster-data/) | Understand data structures and common storage and transfer formats for spatial data. Start here if you want to understand fundamental geospatial concepts like coordinate reference systems, rasters, and vectors. |
| Plotting and Programming in Python | Import data into Python, calculate summary statistics, and create publication-quality graphics. Start here if you have an understanding of geospatial concepts but want to learn Python fundamentals. |
| [Episode 5: Access satellite imagery using Python]({{ site.baseurl }}/05-access-data/) | Open, work with, and plot vector and raster-format spatial data in Python. Start here if you already have a good grasp of geospatial concepts and a working knowledge of Python. |
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