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1 change: 1 addition & 0 deletions README.Rmd
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Expand Up @@ -15,6 +15,7 @@ opts_chunk$set(echo = TRUE, collapse = TRUE, comment = "#>")

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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -15,6 +15,7 @@ Townsend Peterson, and Marlon E. Cobos
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1 change: 1 addition & 0 deletions inst/WORDLIST
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Expand Up @@ -99,6 +99,7 @@ csv
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dados
darkblue
data's
ddi
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diversidade
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6 changes: 3 additions & 3 deletions vignettes/prepare_data.Rmd
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Expand Up @@ -309,7 +309,7 @@ nrow(mop_partition$Mop_results[mop_partition$Mop_results$n_var_out > 1, ])

Now we can use the function `plot_explore_partition()` to visualize the records from each partition in both geographic and environmental spaces. As comparisons were performed in environmental space, to visualize results in geographic space the plotting functions uses a simplified map of the world, but another spatial object can be defined in `calibration_area` if needed.

The type MOP result to plot can be specified as: "simple" to show records in a partition within or out of envrionmental range of the other partitions; or "distance" to display the distance of each record to the nearest set of conditions in the other partitions.
The type MOP result to plot can be specified as: "simple" to show records in a partition within or out of environmental range of the other partitions; or "distance" to display the distance of each record to the nearest set of conditions in the other partitions.

```{r, fig.width = 8, fig.height = 3.5, out.width = "75%"}
# Simple plot in geographic space
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<br>

This bias layer will be used to prepare two new datasets: one with a "direct" bias effect (with higher probability of selecting background points in regions with higher bias values) and another with an "inverse" effect (the oposite).
This bias layer will be used to prepare two new datasets: one with a "direct" bias effect (with higher probability of selecting background points in regions with higher bias values) and another with an "inverse" effect (the opposite).

```{r bias data, results='hide'}
# Using a direct bias effect in sampling
Expand Down Expand Up @@ -701,7 +701,7 @@ plot_explore_partition(explore_partition = mop_blocks, space = "E",

<br>

Note that in partition 1, some occurrence records fall outside the envrionmental range of the other partitions (the same happens with many background records).
Note that in partition 1, some occurrence records fall outside the environmental range of the other partitions (the same happens with many background records).

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