About this resource

    Type of resources
    Module
    Education level(s)
    Graduate / Professional
    Primary user(s)
    student, teacher
    Subject area(s)
    Computer Science, Information Science, Measurement and Data
    Language(s)
    English
    Cluster
    Transparency and Reproducibility in Computation and Analysis, FAIR Data and Materials
    Last updated
    1 January 2020
    Module

    Introduction to Geospatial Raster and Vector Data with R

    By Ana Costa Conrado, Angela Li, Anne Fouilloux, Brett Lord-Castillo, Ethan P White, Joseph Stachelek, Juan F Fung, Katrin Leinweber, Klaus Schliep, Kristina Riemer, Lachlan Deer, Lauren O'Brien, Marchand, Punam Amratia, Sergio Marconi, Stéphane Guillou, Tracy Teal, zenobieg

    Open this resource

    Level Graduate / Professional · For student, teacher · Language English

    Abstract

    Data Carpentry lesson to open, work with, and plot vector and raster-format spatial data in R. The episodes in this lesson cover how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data.

    Keywords Analysis · Data · Education · Geospatial · Open Scholarship Tools and Technologies · R · Reproducibility · Research Data Management Tools · Researchers · Spatial