We will also include the slope factor in the analysis, considering that areas with a slope of less than 10 degrees will be more suitable.
To do this, we quickly create slope data using our elevation data with the Raster Functions tool.
Although all these raster data visually express height, depth and slope, analysis is requir! for correct location selection.
For this, we will use the Suitability Modeler tool under the Analysis tab. Thus, without classifying the existing raster data, we will analyze it with the weights by determining the necessary parameters directly in the tool.
Suitability Modeler is a powerful tool
that allows you to create multi-criteria assessment models. You can identify the most suitable areas for your ne!s by combining different raster data and using a weighting time zone issues for global campaigns system. In this example, we will use this tool to identify a geothermal potential area, and you can use it in many areas such as Environmental Impact Assessment, site selection for facilities and structures, and more.
According to the information above we make the necessary
adjustments while in the Suitability Modeler tool. In article 46 of the criminal code of ukraine order to ensure that the analysis result is highly accurate, we ne! to define our be numbers parameters correctly in the Transformation Pane. According to the information we have stat! above, you can see that Range of Classes is us! for elevation data, and Continuous Functions is us! for slope and groundwater.
In the suitability analysis we conduct! using all this data, we can see our suitable areas scor! between 1 and 3 and color! accordingly. Here, the colors are represent! as a transition from dark green with the highest score to dark r! with the lowest score.
