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    Get Started With GIS in Open Source Python Workshop
    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...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth sciencepythonremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth anlaytics

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    Investigating Sexually Transmitted Disease (STD) Ecologies Using Geographic Information Systems (GIS) (Abstract) | TIEE
    Identifying, mapping and understanding the magnitude and the spatial prevalence of the Sexually Transmitted Diseases (STDs) such as chlamydia and gonorrhea diseases. Analyzing the spatial trends of...

    Keywords: Resources @ ESA - TIEEDisease ecologyfmnDIGhuman ecology and behaviorbacterial infectionsspatial and temporal spread of diseaseGeographic Information System (GIS)

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    AIM-UP! GIS and bats lesson
    This lesson introduces the use of GIS (geographic information systems) in the study of biological questions, using bats as the model organism. This activity requires access to GIS software.

    Keywords: ecologyResources @ AIM-UP!GISgeographical information systemsbats

    2012

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

    Keywords: data analysisdatadata typesdata scienceearth sciencepythonpermafrostremote sensingfloodsGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

    2010

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    Writing Clean Code in R Workshop
    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.

    Keywords: data analysisdata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Earth Analytics in R Course
    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...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Earth Analytics Bootcamp Course
    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...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth sciencepythonremote sensingGeographic Information System (GIS)data science educationdcomputer programmingwildfireearth analytics

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    Introduction to Earth Data Science Textbook
    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...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth sciencepythonremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Creating a Deeper Understanding of Big Geospatial Data, Volunteered Geographic Information (VGI), and Community Science using Project Eddie Modules
    This module uses the Project Eddie Module Assessing the Risk of Invasive Species Using Community Science Data developed by Heard, M. J. (2023) to create a deeper understanding of big geospatial...

    Keywords: GISInvasive SpeciesGeospatial ScienceProject EDDIEgeographyCitizen and Community Sciencegeographic information sciencevolunteering

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    Mapping Specimen Occurrence Data in QGIS
    Use digitized natural history collection occurrence data from the Global Biodiversity Information Facility (GBIF) to map the distribution of the beaver in the state of Oregon from 1800-2020 using QGIS

    Keywords: natural history collectionsspecies distributionscourse-based research experiences (CUREs)digitized natural history collectionsQGIS

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    Assessing Socioeconomic Trends in Tree Cover and Human Health in Urban Environments
    In this exercise, students use a combination of publicly available data and tree cover data that they generate using iTree Canopy to test whether tree cover is equitably distributed within the city...

    Keywords: social justiceSimple Linear Regressionenvironmental justiceGeographic Information System (GIS)Using ExcelConnection to PlaceredliningEcosystem Servicesurban tree coverurban environments

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    Island biogeography, spatial ecology, and macroinvertebrate species diversity in Richmond’s rock pools
    Students investigate questions of community ecology and biogeography using data from an urban rock pool ecosystem. Using ArcGIS 10, students learn to create effective maps, calculate landscape...

    Keywords: aquatic macroinvertebratesCommunity Ecologyspecies diversityGeographic Information System (GIS)spatial analysisJames River

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    Population Ecology of the Northern Spotted Owl
    The mathematical modeling of populations utilizing field-collected demographic data is an important component of lab curricula in a variety of undergraduate biology lab courses. During the global...

    Keywords: demographyCommunity Ecologypopulation ecologyconservation biologylife tables

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    Assessing the Risk of Invasive Species Using Community Science Data
    This module introduces students who are already familiar with GIS to doing comparative analyses with large-scale community science (often called citizen science) data sets. Students will explore...

    Keywords: Invasive SpeciesProject EDDIECitizen and Community Science

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    Liberating Data for Biodiversity Research
    The objectives of this exercise are to familiarize you with the information content of biodiversity specimens and their labels, the breadth of that information across geographic space and/or time.

    Keywords: Biodiversitynatural history collectionsBLUEresearch specimensbiodiversity dataspecimen labels

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    Spatial Analysis with QGIS
    Map specimen data points using QGIS, connect them to form a polygon using the Concave Hull plugin, and calculate the range of a species to examine how it changes over time.

    Keywords: natural history collectionsspecies distributionscourse-based research experiences (CUREs)spatial analysisdigitized natural history collectionsQGIS

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    Exploring Connections between Low Albedo, Urban Heat Islands and Social Justice
    This exercise explores circumstances of urban heat islands in the United States using spatial data, including an exploration of heat island solutions.

    Keywords: redliningUrban heat islandalbedo

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    Using Survey123 to Map Physical Habitat Characteristics, Watershed Activities, and Disturbances
    In this lesson, students are introduced to the idea and practice of “remote sensing” and provided with hands-on, field-based experience using standardized stream habitat assessment protocols (the...

    Keywords: GISmappingremote sensingRiver Field Studies Networkriparian habitat assessmentGPSSurvey123National Rivers and Streams Assessment (NRSA)watershed activitieswatershed disturbances

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    Introduction to Version Control and Git Workshop
    Learn how to use version control with Git to work collaboratively and back up your work.

    Keywords: data analysisdatadata typesdata scienceearth sciencepythonremote sensinggithubversion controldata science educationcomputer programmingwildfireearth analyticsvgeographic information systems

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    Data management and introduction to QGIS and RStudio for spatial analysis
    Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and...

    Keywords: tool:rstudioGISdata managementlandscape ecologyGeospatial ScienceNational Ecological Observatory Networkquantitative inquiryQGIS

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