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lesson_15 [2019/08/30 15:11] argemiro |
lesson_15 [2020/02/10 22:12] argemiro |
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| - | {{ :logo_guidebook1.jpg?400 |}} | + | {{ :logo_logo.png?400 |}} |
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| =====LESSON 15: Using "while" to make successive calculations===== | =====LESSON 15: Using "while" to make successive calculations===== | ||
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| For this, we will use: | For this, we will use: | ||
| - | * The protected areas map in the year 2000 (Guidebook Dinamica_4/Database/Protected_areas/protected_areas_2000.tif) | + | * The protected areas map in the year 2000 (''Guidebook_Dinamica_5/Database/Protected_areas/protected_areas_2000.tif'') |
| - | * The Legal Amazon Biomass map (Guidebook Dinamica_4/Database/biomass/biomass.tif) | + | * The Legal Amazon Biomass map (''Guidebook_Dinamica_5/Database/biomass/biomass.tif'') |
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| - | This exercise is very similar to the previously model. However, now, calculate Map produces a map containing the remaining forest for each category every year.\\ | + | **This exercise is very similar to the previously model. However, now, calculate Map produces a map containing the remaining forest for each category every year.**\\ |
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| Grab the container Repeat from the Control tab and place it on the sketch. Drag the previously model into it. It will automatically resize to envelop Calculate Map. We will extract the attributes and statistics by category using an Extract Categorical Map Attributes. This functor calculates basic statistics from a map for each area delimited by a class. Also grab the functors Get table from key and Lookup table and place it on the Repeat. | Grab the container Repeat from the Control tab and place it on the sketch. Drag the previously model into it. It will automatically resize to envelop Calculate Map. We will extract the attributes and statistics by category using an Extract Categorical Map Attributes. This functor calculates basic statistics from a map for each area delimited by a class. Also grab the functors Get table from key and Lookup table and place it on the Repeat. | ||
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| - | {{ :15a.png?400 |}} | + | {{ :15a.png?700 |}} |
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| The result is returned in a table contains the extracted classes and their corresponding attributes year per year by each category of Legal Amazon Protected Areas. | The result is returned in a table contains the extracted classes and their corresponding attributes year per year by each category of Legal Amazon Protected Areas. | ||
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| + | Congratulations, you have successfully completed this module! Now let’s move to the **next module and the next lesson:** [[lesson_16|LESSON 16: Calculating Landscape metrics on Dinamica EGO]] | ||