MCAS-S lets you build a view that satisfies your stated objective by combining primary data layers into criteria or composites. A means-to-an-end diagram provides a structure to follow in creating your MCAS-S project. This process will also help to match the spatial and temporal scale of the input information and analysis to the objective, which is a critical consideration. Box 2 Hypothetical location of soils at risk—means-to-an-end diagram in MCAS-S A means-to-an-end diagram, like the one in Figure 9, can be represented by data layers in MCAS-S. The of at risk’ layer, is shown on the right-hand side of the figure below, with the input ‘Location criteria and primary data layers shown on the left. 5 Step 2: Assemble data inputs Once you have installed MCAS-S and opened a blank or existing project, you can add data to the display workspace. Types of data MCAS-S allows you to work with four types of data: primary data—gridded raster input layers for display and for undertaking analysis (section 5.1 Primary input data) classified data—gridded raster data layers that you create and export using MCAS-S (section 5.4 Classified data—if you have just begun using MCAS-S there may not be any layers in the classified folder) overlay data—contextual vector data, lines or points for visual reference (such as rivers or towns see section 5.2 Overlay data) mask data—gridded raster layers used to restrict the area of analysis or define regions for reporting (section 5.3 Mask data). Steps to add data layers, masks or overlays Select the Primary, Classified, Overlay or Mask menu to expand and view the available layers Click and drag to bring in primary, classified, or overlay layers into the workspace. Multiple layers can be added to the workspace by holding down the shift key when selecting layers and then dragging in all the selected layers. Check the box next to an overlay or mask of interest to apply the selection to all layers open in the project
MCAS-S lets you build a view that satisfies your stated objective by combining primary data layers into criteria or composites. A means-to-an-end diagram provides a structure to follow in creating your MCAS-S project. This process will also help to match the spatial and temporal scale of the input information and analysis to the objective, which is a critical consideration. Box 2 Hypothetical location of soils at risk—means-to-an-end diagram in MCAS-S A means-to-an-end diagram, like the one in Figure 9, can be represented by data layers in MCAS-S. The ‘Location of at risk’ layer, is shown on the right-hand side of the figure below, with the input criteria and primary data layers shown on the left. 5 Step 2: Assemble data inputs Once you have installed MCAS-S and opened a blank or existing project, you can add data to the display workspace. Types of data MCAS-S allows you to work with four types of data: primary data—gridded raster input layers for display and for undertaking analysis (section 5.1 Primary input data) classified data—gridded raster data layers that you create and export using MCAS-S (section 5.4 Classified data—if you have just begun using MCAS-S there may not be any layers in the classified folder) overlay data—contextual vector data, lines or points for visual reference (such as rivers or towns see section 5.2 Overlay data) mask data—gridded raster layers used to restrict the area of analysis or define regions for reporting (section 5.3 Mask data). Steps to add data layers, masks or overlays Select the Primary, Classified, Overlay or Mask menu to expand and view the available layers Click and drag to bring in primary, classified, or overlay layers into the workspace. Multiple layers can be added to the workspace by holding down the shift key when selecting layers and then dragging in all the selected layers. Check the box next to an overlay or mask of interest to apply the selection to all layers open in the project