Public Group active 2 weeks, 6 days ago

GIS / Mapping Working Group

The Geographic Information Systems (GIS) / Mapping working group is a network of CUNY students, faculty and staff who are interested in sharing methods and techniques, and finding support from others about ways GIS can be used to further research and teaching.

The GIS/Mapping working group is part of a GC Digital Initiatives program designed to create collaborative communities of Digital Fellows, CUNY-wide graduate students, staff, and faculty to meet regularly and share their areas of interest. The working groups provide a sustained, supportive environment to learn new skills, share familiar skills, and collaborate with both the Digital Fellows and the CUNY digital community.

If you are using Geographic Information Systems or other mapping technologies in your teaching and/or research, or if you are interested in mapping your data, or using GIS technology to analyze/visualize your data, we invite you to join the GIS/Mapping working group.

Peruse our mapping resource bank here: https://commons.gc.cuny.edu/groups/gis-working-group/docs/gis-mapping-resources/

For the Spring 2024 semester, the GIS/Mapping working group will meet in the Digital Scholarship Lab, Room 7414, every other Tuesday from 2-4 p.m. Check out our event calendar for the specific meeting dates. Please stop by!

Two Upcoming SMSC courses: Managing Ecological Data in R & GIS Analysis with R, QGIS and Google Earth Engine

  • Posted by M. Joy Cytryn on May 17, 2019 at 12:59 pm

    Sender:
    (http://community.esa.org/profile.htm?mode=vp&pid=71782&igid=35455) Name
    Unknown

    Date:
    May 17th, 2019 8:52am

    To:
    “[email protected]” <[email protected]>

    Subject:
    Two Upcoming SMSC courses: Managing Ecological Data in R & GIS Analysis with
    R, QGIS and Google Earth Engine

    Statistics:
    <javascript:view_stats(232813);> 12134 sent
    The Smithsonian-Mason School of Conservation (SMSC) is a partnership between
    George Mason University and the Smithsonian Conservation Biology Institute
    (SCBI), offering short intensive residential courses hosted in their
    sustainably-built Volgenau Academic Center on the grounds of SCBI in Front
    Royal Virginia. All courses offer continuing education credits (CEUs) and
    some can be taken for graduate credit as well. Limited scholarships are
    available for eligible applicants for some programs. Visit their website
    (http://SMConservation.gmu.edu) for more details about each course, course
    costs, and credits earned.
    COURSE: Managing Ecological Data in R: Introduction to Data Science and the
    Art of Wrangling for Ecologists
    WEBSITE:
    https://smconservation.gmu.edu/programs/graduate-and-professional/ecological
    _data/
    DATE: August 5-9, 2019
    OVERVIEW: Once data reach a certain size or complexity ecologists often
    struggle with the data management process. As big data increasingly becomes
    a component of ecological study, there is a developing need for
    understanding how to maintain large and complex datasets, prepare data for
    analysis, and develop a reproducible workflow. In this five-day course, we
    will explore the management of ecological data using Program R. We will
    focus on the structure and linguistics of data in R and how to integrate R
    into a data science workflow, and explore how to think about ecological data
    in new ways. Through this process, participants will develop a flexible
    skillset for managing and exploring data. Each lesson will consist of a
    lecture and guided lab activities using real world ecological applications.
    This course will include: custom functions, online task automation using
    API, tidyverse functions, version control using GitHub, R as a GIS,
    visualizations using ggplot and Leaflet, and building reports and web
    applications using rMarkdown, Shiny and html.
    COURSE: Essentials of Spatial Ecology: GIS Analysis with R, QGIS and Google
    Earth Engine
    WEBSITE:

    Essentials of Spatial Ecology: GIS Analysis in R, QGIS, and Google Earth Engine


    DATE: September 16-20, 2019
    OVERVIEW: The course aims to provide graduate students and professionals
    with an introduction to freely available visual and analytical tools for
    working with spatial data. The course will focus on the use of R, Q-GIS, and
    Google Earth Engine. In addition to gaining practice in these environments
    using real datasets, participants will be able to learn and problem-solve
    independently after the course. Through a wide range of lectures and guided
    hands-on tutorials, the course focuses on training students to be proficient
    in using these popular open-source GIS and analytical software, particularly
    R, and to think critically to apply those tools in solving applied problems.
    This course is designed and taught by experts at the Smithsonian
    Conservation Biology Institute’s (SCBI) Conservation GIS Lab.
    ADDITIONAL UPCOMING COURSES:
    Estimating Animal Abundance and Occupancy
    July 8-19, 2019 (still accepting applications!)
    Bioinformatics Analysis for Conservation Genomics
    October 9-18, 2019

    Joy Cytryn
    [email protected]

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