.
The graphical modeler allows you to create complex models using a simple and easy-to-use interface. When working with a GIS, most analysis operations are not isolated, but rather part of a chain of operations instead. Using the graphical modeler, that chain of processes can be wrapped into a single process, so it is as easy and convenient to execute as a single process later on a different set of inputs. No matter how many steps and different algorithms it involves, a model is executed as a single algorithm, thus saving time and effort, especially for larger models.
Редактор моделей можно вызвать из меню Анализ ‣ Редактор моделей
Окно построителя моделей состоит из двух частей: слева находится панель вкладок, в ней выбирают составные элементы модели (исходные данные и алгоритмы), справа — рабочая область, где и создаётся модель.
Figure Processing 16:
Создание модели условно можно разделить на два этапа:
Перед созданием модели нужно задать необходимые исходные данные. Все доступные исходные данные собраны в левой части окна построителя моделей, на вкладке Исходные данные:
растровый слой (raster layer)
векторный слой (vector layer)
строка (string)
поле таблицы (table field)
таблица (table)
охват (extent)
число (number)
логическая величина (boolean)
файл (file)
Double-clicking on any of these elements, a dialog is shown to define its characteristics. Depending on the parameter itself, the dialog may contain just one basic element (the description, which is what the user will see when executing the model) or more of them. For instance, when adding a numerical value, as can be seen in the next figure, apart from the description of the parameter, you have to set a default value and a range of valid values.
Figure Processing 17:
После заполнения полей, в рабочую область построения модели добавится новый блок, соответствующий новому элементу.
Figure Processing 18:
You can also add inputs by dragging the input type from the list and dropping it in the modeler canvas, in the position where you want to place it.
После того, как заданы все исходные данные, можно приступать к описанию процесса анализа. Доступные алгоритмы находятся на вкладке Algorithms в левой части окна. Алгоритмы сгруппированы точно так же как и в панели инструментов.
Figure Processing 19:
The appearance of the toolbox has two modes here as well: simplified and advanced. However, there is no element to switch between views in the modeler, so you have to do it in the toolbox. The mode that is selected in the toolbox is the one that will be used for the list of algorithms in the modeler.
To add an algorithm to a model, double-click on its name or drag and drop it, just like it was done when adding inputs. An execution dialog will appear, with a content similar to the one found in the execution panel that is shown when executing the algorithm from the toolbox. The one shown next corresponds to the SAGA ‘Convergence index’ algorithm, the same example we saw in the section dedicated to the toolbox.
Figure Processing 20:
As you can see, some differences exist. Instead of the file output box that was used to set the file path for output layers and tables, a simple text box is used here. If the layer generated by the algorithm is just a temporary result that will be used as the input of another algorithm and should not be kept as a final result, just do not edit that text box. Typing anything in it means that the result is final and the text that you supply will be the description for the output, which will be the output the user will see when executing the model.
Selecting the value of each parameter is also a bit different, since there are important differences between the context of the modeler and that of the toolbox. Let’s see how to introduce the values for each type of parameter.
In all cases, you will find an additional parameter named Parent algorithms that is not available when calling the algorithm from the toolbox. This parameter allows you to define the order in which algorithms are executed by explicitly defining one algorithm as a parent of the current one, which will force the parent algorithm to be executed before the current one.
When you use the output of a previous algorithm as the input of your algorithm, that implicitly sets the previous algorithm as parent of the current one (and places the corresponding arrow in the modeler canvas). However, in some cases an algorithm might depend on another one even if it does not use any output object from it (for instance, an algorithm that executes an SQL sentence on a PostGIS database and another one that imports a layer into that same database). In that case, just select the previous algorithm in the Parent algorithms parameter and the two steps will be executed in the correct order.
Once all the parameters have been assigned valid values, click on [OK] and the algorithm will be added to the canvas. It will be linked to all the other elements in the canvas, whether algorithms or inputs, that provide objects that are used as inputs for that algorithm.
Elements can be dragged to a different position within the canvas, to change the way the module structure is displayed and make it more clear and intuitive. Links between elements are updated automatically. You can zoom in and out by using the mouse wheel.
You can run your algorithm anytime by clicking on the [Run] button. However, in order to use the algorithm from the toolbox, it has to be saved and the modeler dialog closed, to allow the toolbox to refresh its contents.
Use the [Save] button to save the current model and the [Open] button to open any model previously saved. Models are saved with the .model extension. If the model has been previously saved from the modeler window, you will not be prompted for a filename. Since there is already a file associated with that model, the same file will be used for any subsequent saves.
Прежде чем сохранять модель, ей надо дать имя и указать в какой группе она будет находиться. Эти данные вносятся в два поля над рабочей областью построителя моделей.
Models saved on the models folder (the default folder when you are prompted for a filename to save the model) will appear in the toolbox in the corresponding branch. When the toolbox is invoked, it searches the models folder for files with the .model extension and loads the models they contain. Since a model is itself an algorithm, it can be added to the toolbox just like any other algorithm.
The models folder can be set from the processing configuration dialog, under the Modeler group.
Модели, загруженные из каталога models появляются не только в панели инструментов, но и в списке алгоритмов вкладки Алгоритмы редактора моделей. Это значит, что модель может использоваться внутри более крупной модели, как любой другой алгоритм.
In some cases, a model might not be loaded because not all the algorithms included in its workflow are available. If you have used a given algorithm as part of your model, it should be available (that is, it should appear in the toolbox) in order to load that model. Deactivating an algorithm provider in the processing configuration window renders all the algorithms in that provider unusable by the modeler, which might cause problems when loading models. Keep that in mind when you have trouble loading or executing models.
Текущую модель можно редактировать, изменяя описание процесса и меняя связи между алгоритмами и исходными данными, описающими модель.
Нажатие правой клавиши мыши на блоке алгоритма вызовет следующее контекстное меню:
Figure Processing 22:
Выбор пункта Remove приведет к удалению выделенного блока алгоритма. Необходимо помнить, что алгоритм может быть удален тогда и только тогда, когда нет других, зависящих от него, алгоритмов. Т.е. результаты удаляемого алгоритма нигде не используются. Если вы попытаетесь удалить алгоритм, от которого зависят другие алгоритмы, появится предупреждение:
Figure Processing 23:
Selecting the Edit option or simply double-clicking on the algorithm icon will show the parameters dialog of the algorithm, so you can change the inputs and parameter values. Not all input elements available in the model will appear in this case as available inputs. Layers or values generated at a more advanced step in the workflow defined by the model will not be available if they cause circular dependencies.
Выберите новые значения и нажмите кнопку [OK]. Связи между элементами модели будут соответствующим образом обновлены.
Созданные модели можно документировать. Для этого нажмите на кнопку [Edit model help], откроется диалог редактирования описания модели.
Figure Processing 25:
On the right-hand side, you will see a simple HTML page, created using the description of the input parameters and outputs of the algorithm, along with some additional items like a general description of the model or its author. The first time you open the help editor, all these descriptions are empty, but you can edit them using the elements on the left-hand side of the dialog. Select an element on the upper part and then write its description in the text box below.
Model help is saved in a file in the same folder as the model itself. You do not have to worry about saving it, since it is done automatically.
You might notice that some algorithms that can be be executed from the toolbox do not appear in the list of available algorithms when you are designing a model. To be included in a model, an algorithm must have a correct semantic, so as to be properly linked to others in the workflow. If an algorithm does not have such a well-defined semantic (for instance, if the number of output layers cannot be known in advance), then it is not possible to use it within a model, and thus, it does not appear in the list of algorithms that you can find in the modeler dialog.
Additionally, you will see some algorithms in the modeler that are not found in the toolbox. These algorithms are meant to be used exclusively as part of a model, and they are of no interest in a different context. The ‘Calculator’ algorithm is an example of that. It is just a simple arithmetic calculator that you can use to modify numerical values (entered by the user or generated by some other algorithm). This tool is really useful within a model, but outside of that context, it doesn’t make too much sense.