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 lesson_16 [2020/02/14 19:39]argemiro lesson_16 [2020/02/20 17:45]argemiro Both sides previous revision Previous revision 2020/02/20 17:45 argemiro 2020/02/19 13:59 argemiro 2020/02/19 13:58 argemiro 2020/02/18 00:28 argemiro 2020/02/18 00:28 argemiro 2020/02/18 00:27 argemiro 2020/02/14 20:14 argemiro 2020/02/14 20:13 argemiro 2020/02/14 20:13 argemiro 2020/02/14 20:11 argemiro 2020/02/14 19:39 argemiro 2020/02/14 19:39 argemiro 2020/02/14 11:50 pedrog 2020/02/13 23:45 argemiro 2020/02/12 13:42 britaldo 2020/02/12 13:41 britaldo 2020/02/10 22:14 argemiro 2019/08/30 23:55 argemiro [What will you learn?] 2019/08/30 23:55 argemiro 2019/08/23 14:07 argemiro created Next revision Previous revision 2020/02/20 17:45 argemiro 2020/02/19 13:59 argemiro 2020/02/19 13:58 argemiro 2020/02/18 00:28 argemiro 2020/02/18 00:28 argemiro 2020/02/18 00:27 argemiro 2020/02/14 20:14 argemiro 2020/02/14 20:13 argemiro 2020/02/14 20:13 argemiro 2020/02/14 20:11 argemiro 2020/02/14 19:39 argemiro 2020/02/14 19:39 argemiro 2020/02/14 11:50 pedrog 2020/02/13 23:45 argemiro 2020/02/12 13:42 britaldo 2020/02/12 13:41 britaldo 2020/02/10 22:14 argemiro 2019/08/30 23:55 argemiro [What will you learn?] 2019/08/30 23:55 argemiro 2019/08/23 14:07 argemiro created Line 15: Line 15: \\ \\ \\ \\ - Load the model ''​calc_mean_patch_sizes_and_standard_deviations.ego''​ from ''​examples\landscape_metrics\calc_mean_patch_sizes_and_standard_deviations''​ + Load the model ''​calc_mean_patch_sizes_and_standard_deviations.ego''​ from ''​\Guidebook_Dinamica_5\Models\Landscaspe_metrics\calc_mean_patch_sizes_and_standard_deviations''​ \\ \\ \\ \\ Line 29: Line 29: \\ \\ \\ \\ - Now, load the model ''​calc_mean_patch_edges_and_standard_deviations.ego''​ from ''​Examples\landscape_metrics\ calc_mean_patch_edges_and_standard_deviations''​. + Now, load the model ''​calc_mean_patch_edges_and_standard_deviations.ego''​ from ''​\Guidebook_Dinamica_5\Models\Landscaspe_metrics\calc_mean_patch_edges_and_standard_deviations''​. \\ \\ This model calculates the edge length of each patch of a landscape class and for each class the mean patch edge length and patch edge length standard deviation. ​ This model calculates the edge length of each patch of a landscape class and for each class the mean patch edge length and patch edge length standard deviation. ​ \\ \\ - These two set of metrics are input for more complex metrics, such as fractal dimension and largest patch index. ​ For example, fractal dimension for a landscape class can be estimated using the perimeter-area relationship,​ if sufficient data are available, the slope of the line obtained by regressing log(P), patch edge lengths, on log(A), patch areas, is equal to 2/D (Burrough, 1986). Check other landscape metrics models, such as mean patch distance, largest patch index, in ''​examples\landscape_metrics''​. + These two set of metrics are input for more complex metrics, such as fractal dimension and largest patch index. ​ For example, fractal dimension for a landscape class can be estimated using the perimeter-area relationship,​ if sufficient data are available, the slope of the line obtained by regressing log(P), patch edge lengths, on log(A), patch areas, is equal to 2/D (Burrough, 1986). Check other landscape metrics models, such as mean patch distance, largest patch index, in ''​Guidebook_Dinamica_5\Models\Landscaspe_metrics''​. \\ \\ \\ \\ <​note>​ <​note>​ - Recently, a new submodel was built to calculate various landscape metrics quickly and easily in Dinamica EGO. This model is called **Landscape Metrics** and you can find it at the following directory: ''​Guidebook_Dinamica_5\Models\Landscape_metrics''​ + Recently, a new submodel was built to calculate various landscape metrics quickly and easily in Dinamica EGO. This model is called **Landscape_Metrics.egoml** and you can find it at the following directory: ''​Guidebook_Dinamica_5\Models\Landscape_metrics''​ ​ \\ \\ \\ \\ - To use this submodel, load and double click the submodel, and, in the new window, load the map you want to calculate the andscape ​metrics, and choose a destination and a name to save the results table: ​ + To use this submodel, load and double click the submodel, and, in the new window, load the map you want to calculate the landscape ​metrics, and choose a destination and a name to save the results table: ​ \\ \\ \\ \\ Line 47: Line 47: \\ \\ \\ \\ - Below are described the landscape metrics that are calculated by this sub-model: + ☞[[lesson_17|Next Lesson]] \\ \\ - \\ + ☞[[:​guidebook_start| Back to Guidebook Start]] - Congratulations,​ you have successfully completed this lesson! Now let’s move to the **next lesson:​** ​[[lesson_17|LESSON 17: Calculating accumulated cost surface and least-cost pathway]] +