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bump makie and rasters compat #23

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Jan 21, 2025
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bump makie and rasters compat #23

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a0d25c5
bump makie and rasters compat
tiemvanderdeure Jan 21, 2025
a601233
use Rasters.sample
tiemvanderdeure Jan 21, 2025
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4 changes: 2 additions & 2 deletions Project.toml
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Expand Up @@ -40,9 +40,9 @@ GLM = "1.9.0"
GeoInterface = "1"
Loess = "0.6"
MLJBase = "1.7.0"
Makie = "0.20, 0.21"
Makie = "0.20, 0.21, 0.22"
PrettyTables = "2"
Rasters = "0.13"
Rasters = "0.13, 0.14"
ScientificTypesBase = "3"
Shapley = "0.1"
StatisticalMeasures = "0.1.5"
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9 changes: 3 additions & 6 deletions docs/src/eucalyptus_regnans.md
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Expand Up @@ -34,14 +34,12 @@ occurrences = thin(occurrences_raw.geometry, 5000)
## Background points
Next, we sample random points to use as background points.

From Rasters 0.12.1 on, this will be easier with Rasters.sample!

Let's plot both the occurrence and background points to see where _Eucalyptus regnans_ is found.

```@example test
using StatsBase
bg_indices = sample(findall(boolmask(bio_aus)), 500)
bg_points = DimPoints(bio_aus)[bg_indices]
using StatsBase # to active Rasters.sample
bg_data = Rasters.sample(bio_aus, 500; skipmissing = true, geometry = (X,Y))
bg_points = getproperty.(bg_data, :geometry)
fig, ax, pl = plot(bio_aus.bio1)
scatter!(ax, occurrences; color = :red)
scatter!(ax, bg_points; color = :grey)
Expand All @@ -54,7 +52,6 @@ SpeciesDistributionModels.jl has a [sdmdata](@ref) function to handle input data
```@example test
using SpeciesDistributionModels
p_data = extract(bio_aus, occurrences; skipmissing = true)
bg_data = bio_aus[bg_indices]
data = sdmdata(p_data, bg_data; resampler = CV(nfolds = 3))
```

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