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Tags: data visualization

All Categories (1-20 of 40)

  1. Get Started With GIS in Open Source Python Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1

    Earth Lab - University of Colorado, Boulder

    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...

    https://qubeshub.org/qubesresources/publications/1441/?v=1

  2. Writing Clean Code in R Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Max Joseph1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    https://qubeshub.org/qubesresources/publications/1442/?v=1

  3. Introduction to Earth Data Science Textbook

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Jenny Palomino, Leah Wasser

    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...

    https://qubeshub.org/qubesresources/publications/1440/?v=1

  4. Earth Analytics in R Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser

    Earth Lab - University of Colorado, Boulder

    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    https://qubeshub.org/qubesresources/publications/1439/?v=1

  5. Earth Analytics Bootcamp Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Jenny Palomino1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...

    https://qubeshub.org/qubesresources/publications/1438/?v=1

  6. REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on making taxa bar plots in R from the Research Experiences in Microbiomes Network

    https://qubeshub.org/qubesresources/publications/1313/?v=1

  7. Marney Pratt

    https://qubeshub.org/community/members/12436

  8. ClarLynda Williams-DeVane

    https://qubeshub.org/community/members/12061

  9. The nose knows: How tri-trophic interactions and natural history shape bird foraging behavior. Introduction to data visualization.

    28 May 2019 | Teaching Materials | Contributor(s):

    By pamela scheffler

    Students investigate the role of olfaction and infochemicals on bird foraging behavior.. In this module students learn to analyze and present graphic data in ways that simplify interpretation.

    https://qubeshub.org/qubesresources/publications/1221/?v=1

  10. Investigating human impacts on stream ecology: Intro to R

    08 May 2019 | Teaching Materials | Contributor(s):

    By Kristen Kaczynski

    California State University - Chico

    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...

    https://qubeshub.org/qubesresources/publications/1144/?v=1

  11. Histograms and Boxplots

    21 Jan 2019 | Teaching Materials | Contributor(s):

    By Suann Yang

    SUNY Geneseo

    This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.

    https://qubeshub.org/qubesresources/publications/1019/?v=1

  12. Caitlin Hicks Pries

    https://qubeshub.org/community/members/10140

  13. Summer Internships in Parallel Computational Science

    Collections | 14 Dec 2018 | Posted by Alycia Crall

    https://qubeshub.org/community/groups/edsin/collections/opportunities-in-the-field

  14. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

    https://qubeshub.org/qubesresources/publications/913/?v=1

  15. Tools: New tools for new science

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Harry Shum

    Microsoft

    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.

    https://qubeshub.org/qubesresources/publications/891/?v=1

  16. Dendroclimatology

    17 Sep 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, R. S. Maxwell1

    Radford University

    Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth rates of a...

    https://qubeshub.org/qubesresources/publications/544/?v=2

  17. 3D breast cancer tissue reconstruction

    17 Sep 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Kerri-Ann Norton2

    1. Radford University 2. Johns Hopkins University

    This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.

    https://qubeshub.org/qubesresources/publications/543/?v=2

  18. Phenotypic plasticity and predation

    29 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2

    1. Radford University 2. Vassar College

    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    https://qubeshub.org/qubesresources/publications/545/?v=2

  19. Phenotypic plasticity and predation

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2

    1. Radford University 2. Vassar College

    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    https://qubeshub.org/qubesresources/publications/545/?v=1

  20. Leaf cutter ant foraging

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2, Myra Hughey2

    1. Radford University 2. Vassar College

    This module introduces students to leaf-cutter ants in the rainforests of Panama. Students derive their own research hypotheses regarding ant foraging or allometric scaling relationships.

    https://qubeshub.org/qubesresources/publications/542/?v=1