Perform a suitability analysis using the elevation data $($dem$)$ in the Challenge$\_4$ folder. Output your final results to the Results folder, which will include three rasters identifying the areas that meet the specified criteria described later $(2$ pts$).$ Pretend there is a variety of raster data in the Challenge$\_4$ folder. List the rasters using the List Rasters function $(2$ pts$).$ Loop over the list of rasters. Inside the loop test if the raster has one band $(2$ pts$).$ If it does, then the raster is elevation data, and you should do the following $(1$ pt for each task$)$:

$1.$ Calculate the slope of the elevation data.

$2.$ Create a new raster identifying areas with a slope $<10\backslash$deg $($that is the default measurement of the Slope tool$).$

$3.$ Create a new raster identifying areas with an elevation less than $2,500$ meters $($that is the units of the elevation data$).$

$4.$ Finally, identify the areas that meet both of the above criteria using the & operator. Save this raster to the Results folder.

Your final rasters identify areas suitable for cheaper construction with low slope and elevation.

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