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[WIP] add more content to ch1 #43

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280dcff
General infrastructure updates
asinghvi17 May 2, 2026
1934974
Remove extra unpaired `:::`
asinghvi17 May 2, 2026
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4 changes: 4 additions & 0 deletions .gitignore
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Expand Up @@ -12,3 +12,7 @@ docs
/_site/
output/*
Manifest.toml

**/*.quarto_ipynb

reference/
3 changes: 3 additions & 0 deletions .vscode/settings.json
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@@ -0,0 +1,3 @@
{
"julia.environmentPath": "${workspaceFolder}",
}
2 changes: 2 additions & 0 deletions Project.toml
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Expand Up @@ -5,6 +5,7 @@ CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DimensionalData = "0703355e-b756-11e9-17c0-8b28908087d0"
FlexiJoins = "e37f2e79-19fa-4eb7-8510-b63b51fe0a37"
GLMakie = "e9467ef8-e4e7-5192-8a1a-b1aee30e663a"
GeoDataFrames = "62cb38b5-d8d2-4862-a48e-6a340996859f"
GeoFormatTypes = "68eda718-8dee-11e9-39e7-89f7f65f511f"
GeoInterface = "cf35fbd7-0cd7-5166-be24-54bfbe79505f"
Expand All @@ -17,6 +18,7 @@ MakieCore = "20f20a25-4f0e-4fdf-b5d1-57303727442b"
NaturalEarth = "436b0209-26ab-4e65-94a9-6526d86fea76"
Proj = "c94c279d-25a6-4763-9509-64d165bea63e"
Rasters = "a3a2b9e3-a471-40c9-b274-f788e487c689"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Tyler = "e170d443-b9d6-418a-9ee8-061e966341ef"
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2 changes: 1 addition & 1 deletion _quarto.yml
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Expand Up @@ -59,5 +59,5 @@ format:
# text: |
# \printindex

jupyter: julia
engine: julia
bibliography: geocompjl.bib
1 change: 0 additions & 1 deletion chapters/01-spatial-data.qmd
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Expand Up @@ -114,7 +114,6 @@ display(fig);
Illustration of vector (point) data in which location of London (the red X) is represented with reference to an origin (the blue circle).
The left plot represents a geographic CRS with an origin at 0° longitude and latitude.
The right plot represents a projected CRS with an origin located in the sea west of the South West Peninsula.
:::

There is more to CRSs, as described in @sec-coordinate-reference-systems-intro and @sec-reproj-geo-data but, for the purposes of this section, it is sufficient to know that coordinates consist of two numbers representing the distance from an origin, usually in $x$ and $y$ dimensions.

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