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BigelowLab · Oct 16, 2023 · 719e799 · 719e799
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diff --git a/covariates.qmd b/covariates.qmd
@@ -12,7 +12,7 @@ Presence only modeling using [MaxEnt](https://biodiversityinformatics.amnh.org/o
 
 ## Loading data
 
-We have two data sources to load: point observation data and rasterized environmental predicitor data.
+We have two data sources to load: point observation data and rasterized environmental predictor data.
 
 ### Load the observation data
 We'll load in our [OBIS](https://obis.org/taxon/127405) observations as a flat table, and immediately filter the data to any occurring from 2000 to present.

diff --git a/data/bkg/bkg-covariates.gpkg b/data/bkg/bkg-covariates.gpkg
diff --git a/data/bkg/buffered-polygon.gpkg b/data/bkg/buffered-polygon.gpkg
diff --git a/data/model/v1/v1.0/model_v1.0.rds b/data/model/v1/v1.0/model_v1.0.rds
diff --git a/data/obs/obs-covariates.gpkg b/data/obs/obs-covariates.gpkg
diff --git a/docs/covariates.html b/docs/covariates.html
@@ -251,7 +251,7 @@ <h2 data-number="1" class="anchored" data-anchor-id="background-points-to-charac
 </section>
 <section id="loading-data" class="level2" data-number="2">
 <h2 data-number="2" class="anchored" data-anchor-id="loading-data"><span class="header-section-number">2</span> Loading data</h2>
-<p>We have two data sources to load: point observation data and rasterized environmental predicitor data.</p>
+<p>We have two data sources to load: point observation data and rasterized environmental predictor data.</p>
 <section id="load-the-observation-data" class="level3" data-number="2.1">
 <h3 data-number="2.1" class="anchored" data-anchor-id="load-the-observation-data"><span class="header-section-number">2.1</span> Load the observation data</h3>
 <p>We’ll load in our <a href="https://obis.org/taxon/127405">OBIS</a> observations as a flat table, and immediately filter the data to any occurring from 2000 to present.</p>

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diff --git a/docs/modeling-01.html b/docs/modeling-01.html
@@ -404,8 +404,8 @@ <h3 data-number="6.2" class="anchored" data-anchor-id="predict-with-rasters"><sp
 <div class="cell-output cell-output-stdout">
 <pre><code>stars object with 3 dimensions and 1 attribute
 attribute(s):
-              Min.   1st Qu.    Median      Mean   3rd Qu.      Max.  NA's
-pred  0.0001196393 0.1200618 0.2675931 0.3033565 0.4398977 0.8816952 11487
+              Min.    1st Qu.    Median      Mean  3rd Qu.      Max.  NA's
+pred  2.305125e-07 0.03167425 0.1225203 0.2072669 0.326378 0.9489527 11487
 dimension(s):
      from to offset delta refsys point                    values x/y
 x       1 74 -76.38  0.25 WGS 84 FALSE                      NULL [x]
@@ -462,16 +462,16 @@ <h4 data-number="6.2.1" class="anchored" data-anchor-id="how-did-it-do-1"><span
 Geodetic CRS:  WGS 84
 First 10 features:
         pred       time       date                   geometry
-1  0.2759255 2019-05-01 2019-05-01 POINT (-67.32935 40.42509)
-2  0.7245142 2019-03-01 2019-03-01 POINT (-74.41057 36.49908)
-3  0.6664676 2019-12-01 2019-12-01   POINT (-75.3994 35.9457)
-4  0.4536477 2019-06-01 2019-06-01 POINT (-75.10864 36.94806)
-5  0.6864945 2019-04-01 2019-04-01 POINT (-74.49892 36.57275)
-6  0.3105710 2019-09-01 2019-09-01   POINT (-75.5519 36.1854)
-7  0.3874695 2019-09-01 2019-09-01   POINT (-73.6245 40.3317)
-8  0.3785449 2019-04-01 2019-04-01 POINT (-69.04389 39.82132)
-9  0.7447747 2019-04-01 2019-04-01 POINT (-74.59436 36.87291)
-10 0.7447747 2019-04-01 2019-04-01 POINT (-74.45753 36.72279)</code></pre>
+1  0.1104861 2019-05-01 2019-05-01 POINT (-67.32935 40.42509)
+2  0.3843953 2019-03-01 2019-03-01 POINT (-74.41057 36.49908)
+3  0.3466826 2019-12-01 2019-12-01   POINT (-75.3994 35.9457)
+4  0.5219442 2019-06-01 2019-06-01 POINT (-75.10864 36.94806)
+5  0.7742993 2019-04-01 2019-04-01 POINT (-74.49892 36.57275)
+6  0.1499107 2019-09-01 2019-09-01   POINT (-75.5519 36.1854)
+7  0.4467580 2019-09-01 2019-09-01   POINT (-73.6245 40.3317)
+8  0.3129951 2019-04-01 2019-04-01 POINT (-69.04389 39.82132)
+9  0.8267838 2019-04-01 2019-04-01 POINT (-74.59436 36.87291)
+10 0.8267838 2019-04-01 2019-04-01 POINT (-74.45753 36.72279)</code></pre>
 </div>
 </div>
 <p>Finally we can build a table that merges the prediction with the labels. We are going to add the name of the month to group by that.</p>

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