M1 S2 - Suitability Analysis / Least Cost Path
1: Blog post that includes: 1) a medium resolution image of your final map layout and 2) a brief discussion of your analysis steps and results. This discussion can be in qualitative terms and there is no need to include your numerical results.
To be honest, I had underestimated the time I'll be working on this knowing that we tend to have power outages here in the rural area in the Philippines. It took me exactly 12 hours to go over each step making sure that I didn't miss anything especially when using advanced geoprocessing tools.
Scenario 2 required us to be a property developer analyzing the land as a suitable location for building development. The following factors are considered: (1) land cover, (2) soils, (3) slopes, (4) streams and (5) roads. I then converted all factors considered into rasters (if applicable) and then reclassify them into suitability classes. Once I had all 5, I used the weighted overlay tool to compute their values based on percentage influence. The left map, I used equal percentage of 20% for each factor and then the right map I used alternative weights of 40% (slope), 20% (soils) and 10% (streams and roads).
You'll notice in the map (above) that each result produce different suitability scale colors - due to the assigned weight influence. Suitability colors will change depending on the importance of each factor on your map. In this example, we had used equal influence and the other placed the most weight on slope resulting more influence on slope data for building development suitability.
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