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LEGEND (System for Automated Geoscientific Analyses) is an open source geographic details system (GIS) used for modifying and analysing spatial information. It consists of a large number of modules for the analysis of vector (point, line and polygon), table, grid and image data. Amongst others the plan includes modules for geostatistics, image category, forecasts, simulation of dynamic processes (hydrology, landscape advancement) and surface analysis.

Contents To run legend GIS on the Live DVD, open the Desktop GIS group on the Desktop and click on the SAGA link. When opening SAGA for the very first time, you exist with 3 subwindows: the Manager, the object Characteristic and the Messages window. The info in the things residential or commercial properties window will alter depending on your selection in the Manager window.

Attempt closing one of the windows to get more place for your map. You can reveal closed windows once again in the menu. Open the SAGA GUI and pack the grid/ home/user/saga/ by means of the menu. You will get a message in the General tab of the Messages window regarding the success or failure of this task.

Once you packed the dataset, it will reveal up in the Data tab of the Work area window. It will be noted under Grids and the grid system it belongs to. In this case, the grid system information will look like. The very first number is the cell size (30 meters), the next two numbers show the variety of cells in x and y instructions respectively, and the last 2 numbers are the origin of the grid.

This, and some more beneficial details on the dataset reveal up if you pick the Description tab of the Residence window. When you click the tab, you will see not only more in-depth information on the grid system, however also the Value Kind of the grid (here FLOAT), the Value Variety, some analytical measures and the Memory Size.

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To display the dataset in a map view: Double click on the dataset in the Information tab of the Work area window. A new Map window will open up with the dataset displayed.

Attempt moving the mouse pointer over the map and enjoy the x-, y- and z-coordinates displayed in the bottom bar of the SAGA GUI window. The z-coordinates showed represent the elevation values of the dataset (know that the values showed are always those of the dataset picked in the Data or Maps tab).

The Zoom tool is selected by default. A left click the map focuses, a right click zooms out. Holding the left mouse button down, dragging to the opposite corner and letting the mouse button up allows you to zoom to a location of interest. Note If you zoom in a lot and turn on Program cell values on Settings tab, you will see that the cell values are getting displayed.

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Take a look at the other buttons in the tool bar: these allow you to zoom e.g. to Complete Degree. Idea Legend zooms really fast, if you are lost while searching your data, click the 'Zoom to Complete Level' button in the toolbar We will boost the map display by computing a shaded relief map.

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Now select the Analytical Hillshading module and then pick the Settings tab of the Residence window. This will appear the module parameters (likewise take a look at the Description tab, which will show more information about the module and its parameters). Click in the ideal column of the Grid system parameter (where [not set] is displayed) and choose the grid system of the Mt.

Helens dataset (). Next click into the best column of the Elevation specification and select the dataset. Click in the best column of the Shading Method option and select Requirement. Now push the Apply and after that the Execute button. A new dataset consisting of the hillshade will be determined. Take a look at the Data tab of the Office window - you will discover the recently created dataset.

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This will show the dataset in a brand-new map view. After inspecting the dataset, close the Map window by selecting Close from the Window menu. Now double click on the hillshade dataset once again, but select the Map including the elevation dataset in the dialog turning up (Include layer to chosen map).