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tutorial:calculating_accumulated_cost_surface_and_least-cost_pathway [2016/11/23 19:18]
isabella
tutorial:calculating_accumulated_cost_surface_and_least-cost_pathway [2017/01/25 18:52]
francisco [What will you learn?]
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 | > 20            | 5  |  | > 20            | 5  | 
  
-Let’s begin the model by loading the maps ''​landuse.tif''​ and ''​slope.tif''​ using the functor //[[:Load Map]]//. Then, let’s incorporate the two previous tables. Add a Lookup Table from Table tab.  ​+Let’s begin the model by loading the maps ''​landuse.tif''​ and ''​slope.tif''​ using the functor //[[:Load Map]]//. Then, let’s incorporate the two previous tables. Add a [[:Lookup Table]] from Lookup ​Table tab.  ​
  
 You should have something like this:\\ You should have something like this:\\
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-Now place three //​[[:​Calculate Map]]// and four //[[:Number Map]]// functors, one within each //​[[:​Calculate Map]]// and two //[[:Number Map]]// functors within the third, and one //[[:Number Table]]// within one of the two first //​[[:​Calculate Map]]// functors and //[[:Save Map]]//. Open //[[:Number Map]]//, assign a unique number (1 and 2) to each one and assign "​1"​ to //[[:Number Table]]//. Finally connect Map ''​landuse.tif'' ​to //[[:Number Map]]// 1 and Map ''​slope.tif''​ to //[[:Number Map]]// ​of the two first //​[[:​Calculate Map]]//. Then, connect the two first to the third //​[[:​Calculate Map]]// and it to //[[:Save Map]]//. Open //[[:Save Map]]// and enter ''​friction.tif''​. This is what you get.+Now place three //​[[:​Calculate Map]]// and four //[[:Number Map]]// functors, one within each //​[[:​Calculate Map]]// and two //[[:Number Map]]// functors within the third, and one //[[:Number Table]]// within one of the two first //​[[:​Calculate Map]]// functors and //[[:Save Map]]//. Open //[[:Number Map]]//, assign a unique number (1 and 2) to each one and assign "​1"​ to //[[:Number Table]]//. Finally connect Map ''​landuse.tif''​ and Map ''​slope.tif''​ to //[[:Number Map]]// ​of the two first //​[[:​Calculate Map]]//. Then, connect the two first to the third //​[[:​Calculate Map]]// ​respectively ​and it to //[[:Save Map]]//. Open //[[:Save Map]]// and enter ''​friction.tif''​. This is what you get.
  
 {{ :​tutorial:​cost3.jpg |}} {{ :​tutorial:​cost3.jpg |}}
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 **i1*i2**\\ **i1*i2**\\
 \\ \\
-Save the model as ''​my_friction'', ​verify its integrity ​and if it is O.K., run it.\\+Save the model as ''​my_friction'',​ and run it.\\
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 Open on the Map Viewer ''​friction.tif'',​ using “Pseudocolor” as Current Color Palette and in the Histogram click on Limits to Actual and Histogram Equalize. ​ Open on the Map Viewer ''​friction.tif'',​ using “Pseudocolor” as Current Color Palette and in the Histogram click on Limits to Actual and Histogram Equalize. ​
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 </​WRAP>​\\ </​WRAP>​\\
  
-The **Source** port will receive the Map ''​railroad.tif''​ and the friction ​map output by the third //​[[:​Calculate Map]]//. Turn on **Diagonals Cost More**. This will penalize the movement across diagonal cells. Set **Maximum Number of Passes** to “2”. Leave all other options untouched.+The **Source** port of [[:Calc Cost Map]] functor ​will receive the Map ''​railroad.tif''​ and the **Friction** port will receive the map output by the third Calculate Map //​[[:​Calculate Map]]//. Turn on **Diagonals Cost More**. This will penalize the movement across diagonal cells. Set **Maximum Number of Passes** to “2”. Leave all other options untouched.
  
-Open //[[:Calc Pathway Map]]// now with the Edit Functor Ports. Link Map ''​town1.tif''​ to the **Source** port <note tip>​**TIP**:​ **Source**, in this case, also represents the destiny since the cost map was built from the existing railroad. Thus, this algorithm will search for the least-cost pathway from the source to the existing feature, i.e. the railroad.</​note> ​+Open //[[:Calc Pathway Map]]// now with the Edit Functor Ports. ​ 
 + 
 +Link Map ''​town1.tif''​ to the **Source** port <note tip>​**TIP**:​ **Source**, in this case, also represents the destiny since the cost map was built from the existing railroad. Thus, this algorithm will search for the least-cost pathway from the source to the existing feature, i.e. the railroad.</​note> ​
  
 Link the map output from //[[:Calc Cost Map]]// to the port **Cost** and Map ''​railroad.tif''​ to **Network** (because it represents a linear feature network) and the output **Network** port to //[[:Save Map]]//. {{ :​tutorial:​cost8.2.jpg |}} Link the map output from //[[:Calc Cost Map]]// to the port **Cost** and Map ''​railroad.tif''​ to **Network** (because it represents a linear feature network) and the output **Network** port to //[[:Save Map]]//. {{ :​tutorial:​cost8.2.jpg |}}
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 Click on //[[:Save Map]]// with the Edit Functor, change the folder to an upper level, change the file format to “geotiff” and set **Suffix to Digits** to “0”, finally enter ''​railway.tif''​. The final model will look as follows: {{ :​tutorial:​cost10.jpg |}} Click on //[[:Save Map]]// with the Edit Functor, change the folder to an upper level, change the file format to “geotiff” and set **Suffix to Digits** to “0”, finally enter ''​railway.tif''​. The final model will look as follows: {{ :​tutorial:​cost10.jpg |}}
  
-Save the model to a new file ''​my_pathway.egoml'', ​verify it and if it is O.K., run it. This is going to take only a little while. Dinamica EGO has superior performance in relation to most commercial GIS packages; you may want to try this model on other software just for performance comparison. Open on the Map viewer ''​railway.tif'',​ using "​PseudoColor"​ as **Current Color Palette**. What do you see?​\\ ​+Save the model to a new file ''​my_pathway.egoml'',​ and run it. This is going to take only a little while. Dinamica EGO has superior performance in relation to most commercial GIS packages; you may want to try this model on other software just for performance comparison. Open on the Map viewer ''​railway.tif'',​ using "​PseudoColor"​ as **Current Color Palette**. What do you see?​\\ ​
 \\ \\
 {{ :​tutorial:​cost11.2.jpg |}}\\ {{ :​tutorial:​cost11.2.jpg |}}\\
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 This model shows how you can use //​[[:​Calculate Map]]// to merge information from several maps into a single one. The product will be a map depicting the center cells for four towns. TIP: use always a sole cell to represent a location to be reached by //[[:Calc Pathway Map]]//.\\ This model shows how you can use //​[[:​Calculate Map]]// to merge information from several maps into a single one. The product will be a map depicting the center cells for four towns. TIP: use always a sole cell to represent a location to be reached by //[[:Calc Pathway Map]]//.\\
  
-Now replace the input in Map ''​town1.tif''​ with the file ''​multiple_towns.tif''​ and change the file in Map ''​railway.tif''​ to ''​xrailways.tif''​.\\+Now replace, into model my_pathway.egoml, ​the input in Map ''​town1.tif''​ with the file ''​multiple_towns.tif''​ and change the file in Map ''​railway.tif''​ to ''​xrailways.tif''​.\\
  
 Did you get something like this?\\ Did you get something like this?\\