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Restructured modules / 'phases' per outcomes of conversation with Marty
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title: "Spatial Data & Interactivity" | ||
title: "Working with Spatial Data" | ||
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## Overview | ||
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Being able to confidently work with spatial data and use code to create interactive features are both important facets of synthesis work. However, neither fits neatly within a dedicated module and thus we have decided to combine these somewhat disparate topics into a single module. | ||
Under Construction | ||
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{{< include topic_spatial.qmd >}} | ||
## Learning Objectives | ||
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{{< include topic_interactivity.qmd >}} | ||
After completing this topic you will be able to: | ||
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- <u>Define</u> characteristics of common types of spatial data | ||
- <u>Manipulate</u> spatial data with R | ||
- <u>Integrate</u> spatial data with tabular data | ||
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## Topic Content | ||
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## Additional Spatial Resources | ||
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### Papers & Documents | ||
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- | ||
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### Workshops & Courses | ||
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- The Carpentries' [Introduction to Geospatial Raster & Vector Data with R](https://datacarpentry.org/r-raster-vector-geospatial/) | ||
- The Carpentries' [Introduction to R for Geospatial Data](https://datacarpentry.org/r-intro-geospatial/index.html) | ||
- Arctic Data Center's [Spatial and Image Data Using GeoPandas](https://learning.nceas.ucsb.edu/2023-03-arctic/sections/geopandas.html) chapter of their Scalable Computing course | ||
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### Websites | ||
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- NASA's <u>App</u>lication for <u>E</u>xtracting and <u>E</u>xploring <u>A</u>nalysis <u>R</u>eady <u>S</u>amples [(AppEEARS) Portal](https://appeears.earthdatacloud.nasa.gov/) |
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