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An Introduction to Geospatial Data Structures in R.

This repo offers a short introduction to dealing with geospatial data structure in R. We will be converting vector data into "sf" objects from the sf package. Then we will perform a short demonstration of the said technique on a dataset on invasive species in the United States. Finally, we will briefly discuss modeling with geospatial data in R.

Contributors:

Yibo Liang, Pippa Lin, Chris Zhao

Features

  • Conversion to "sf" Objects: Learn the essentials of converting vector data into "sf" objects, unlocking the powerful functionalities offered by the sf package.

  • Demonstration on Invasive Species Data: Explore a practical application of the introduced techniques with a dataset on invasive species in the United States. Follow along as we conduct a hands-on demonstration to deepen your understanding ShinyApp.

  • Introduction to Geospatial Modeling: Delve into the world of geospatial modeling in R, gaining insights into how to effectively model and analyze spatial data.

Navigating the Repo:

Resources:

Introduction to spatial data in R

Free GIS Data

Draw polygons around coordinates in R

Using R to Estimate Spatial Regression Models

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