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    Ferns are Everywhere
    Using spatial fern population data in hypothesis testing

    Keywords: hypothesis testingNumbers Countspatial distribution

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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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    Phylogeography Simulator
    This Excel workbook simulates the phylogeography of an asexually reproducing species.

    Keywords: Phylogeographymutation ratesAsexual reproductionspecies dispersal

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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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    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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    Spatial Justice, Marginal Populations, and Data Integrity
    Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part...

    Keywords: data sciencespatial justicedata integrity

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    NEON Data in the Classroom: Quantifying Spatial Patterns
    Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and...

    Keywords: RR Markdownlandscape ecologygroup-neon2018spatial statisticsfractalsrasters

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    Distributions CURE- Exploring Species Distribution Changes and their Drivers
    This course-based undergraduate research experience (CURE) uses digitized natural history collections data to answer questions about species distributions and their drivers. This inclusive CURE can...

    Keywords: Evolutionecologyidigbiodata management#iNaturalistcourse based undergraduate research experienceshuman impactsspecies distributionscourse-based research experiences (CUREs)digitized natural history collectionsGBIFQGISBCEENETgeoreferencing

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    Sampling Distributions and Null Distributions: two swirl lessons in R
    There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a...

    Keywords: The Analysis of Biological Datateaching with technologySwirl

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    Painting turtles: an introduction to species distribution modeling in R
    This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.

    Keywords: RResources @ ESA - TIEEfmnDIGspecies distributionshabitat suitabilitycooperative learningjigsaw

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    Chapter 7: The normal distribution
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    Chapter 6: Population proportions and the binomial distribution
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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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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    Using drones for conservation work with Eben Broadbent
    Eben N. Broadbent, PhD, is an assistant professor of forest ecology & geomatics in the School of Forest Resources and Conservation at the University of Florida, with a PhD in Biology (Ecology &...

    Keywords: ecologyconservation ecologydronesspatial ecology

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    GeoPhyl
    This Excel workbook allows students to explore evolution over space and time using published data on the invasive plant Tamarix (salt cedar).

    Keywords: Invasive SpeciesTamarixsalt cedarpermutation testrandom geographic distribution

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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...

    Keywords: RlandscapebiomassProblem Solvingraster raster data processingspatial data visualizationvegetation indicescanopy

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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality

    Keywords: biostatisticsR programming languageSwirl

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    Remote Sensing of Plants and Topography in R (Project EDDIE)
    Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider...
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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...

    Keywords: population growthRStudiodata visualizationexponential growthlogistic growthR Markdownspatial dataocean sustainability4DEE FrameworkTraditional ecological knowledgecarrying capacityEcosystem Servicesmaximum sustainable yield

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    Lake Mixing Module (Project EDDIE)
    Students explore spatial and temporal patterns of lake mixing using high-frequency temperature data from lakes around the world.

    Keywords: stratificationProject EDDIE

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