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Converted some models to use the resource extension for images
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Lines changed: 68 additions & 36 deletions

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Code Examples/Image Import Example.nlogox

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Curricular Models/BEAGLE Evolution/HubNet Activities/Guppy Spots HubNet.nlogox

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Sample Models/Biology/Evolution/Bug Hunt Camouflage.nlogox

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Sample Models/Biology/Evolution/Mammoths.nlogox

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<?xml version="1.0" encoding="utf-8"?>
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<model version="NetLogo 7.0.0-beta0" snapToGrid="true">
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<code><![CDATA[globals [
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<model version="NetLogo 7.0.0-beta1" snapToGrid="true">
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<code><![CDATA[extensions [ resource import-a ]
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globals [
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mammoths-killed-by-humans ; counter to keep track of the number of mammoths killed by humans
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mammoths-killed-by-climate-change ; counter to keep track of the number of mammoths killed by climate change
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]
@@ -15,7 +17,7 @@ to setup
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clear-all
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ask patches [ set pcolor blue - 0.25 - random-float 0.25 ]
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import-pcolors "Americas.png"
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import-a:pcolors resource:get "Americas"
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ask patches with [ not shade-of? blue pcolor ] [
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; if you're not part of the ocean, you are part of the continent
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set pcolor green
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## NETLOGO FEATURES
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The model uses [`import-pcolors`](http://ccl.northwestern.edu/netlogo/docs/dictionary.html#import-pcolors) to load a map of the Americas. This shows how easy it is to model semi-realistic geographical features in NetLogo without having to resort to the [GIS extension](https://ccl.northwestern.edu/netlogo/docs/gis.html), which is very powerful but harder to use.
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The model uses `import-a:pcolors` to load a map of the Americas. This shows how easy it is to model semi-realistic geographical features in NetLogo without having to resort to the [GIS extension](https://ccl.northwestern.edu/netlogo/docs/gis.html), which is very powerful but harder to use.
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## CREDITS AND REFERENCES
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@@ -429,4 +431,7 @@ Converted from StarLogoT to NetLogo, 2016.
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</shape>
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</linkShapes>
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<previewCommands>setup repeat 75 [ go ]</previewCommands>
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<resources>
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<resource name="Americas" extension="png">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</resource>
436+
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</model>

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