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In this workshop, participants will learn a few of the many options for visualizing spatial data in R. Participants should have an introductory understanding of R and have R installed on their…
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We will combine the power of Earth
Engine with the user-friendliness of R to generate beautiful,
presentation-quality contextual maps. The workshop will focus on Landsat
imagery, but is…
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This two-part workshop series provides an introduction to using R for
two popular machine learning techniques: clustering and
classification. Clustering involves identifying groups of similar…
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This two-part workshop series provides an introduction to using R for
two popular machine learning techniques: clustering and
classification. Clustering involves identifying groups of similar…
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This 2-part workshop series for intermediate R programmers focuses on
how to load and prepare data for analysis. We’ll explore how to screen a
data set for potential problems with its…
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This 2-part workshop series for intermediate R programmers focuses on
how to load and prepare data for analysis. We’ll explore how to screen a
data set for potential problems with its…
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We often see that values observed in
closer spatial proximity are more alike than those from distant
locations, and thus the data may not be independent. This can cause
problems, and…
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Learn how to create and customize professional-quality, interactive
maps in R shiny. Allow users to explore data, provide both spatial and
non-spatial inputs, and receive personalized…
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This intermediate R workshop focuses on how to find and fix bugs in
your R code, as well as how to make code more reliable and efficient in
the first place. We’ll cover how to raise and…
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This intermediate R workshop is all about making it easier to run,
reuse, and share R code by writing scripts! We’ll cover what scripts
are, how to organize code in a script, how to make…
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This is the first entry in DataLab's Bayesian series for Fall 2023. Stan is a
program that estimates Bayesian models, and R has a very nice interface. The copyright on
this video is owned by…
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Regression modeling—using input variables to predict or model the
value of a response—is widely used by researchers in nearly every
domain. While many statistics courses introduce the…
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Regression modeling—using input variables to predict or model the
value of a response—is widely used by researchers in nearly every
domain. While many statistics courses introduce the…
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This 2-part workshop series for
intermediate R programmers focuses on how to load and prepare data for
analysis. First, you'll learn how to screen a data set for potential
problems in its…
|
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This 2-part workshop series for
intermediate R programmers focuses on how to load and prepare data for
analysis. First, you'll learn how to screen a data set for potential
problems in its…
|
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|
This 2-part workshop series for
intermediate R programmers focuses on how to load and prepare data for
analysis. First, you'll learn how to screen a data set for potential
problems in its…
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