Intro to Data AnalysisiNaturalist dataInstructions to download iNaturalist dataAnalyzing dataExample of analyzing iNaturalist data using R
Figure 1
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Figure 2
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Introduction to R and RStudioGetting set up in RStudio
Figure 1
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Exploring and understanding data
Working with data
Data visualization with ggplot2
Figure 1
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Figure 2
Next we need to specify how we want the data to be displayed. We do this
using
geom_
functions, which specify the type of geometry
we want, such as points, lines, or bars. We use geom_bar()
to create a vertical bar plot.
Figure 3
If we want year on x axis, and count on y axis, use
coord_flip()
Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
We can also use 6 digit hex color. You can use online tools to get hex
colors. https://html-color.codes
Figure 9
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Figure 10
We create a new dataframe that counts the number observations per year
and iconic_taxon_name. Use
mutate()
and year()
to add a year
column. We want count by both
year
and iconic_taxon_name
. We want the column
to be called obs_count
.
Figure 11
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Figure 12
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Figure 13
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Figure 14
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Figure 15
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Figure 16
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Figure 17
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Figure 18
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Creating maps
Figure 1
There are some observations that are outside of Los Angeles. Use filter
to select observations in LA.
Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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