Accomplishment Statement
Practised viewing vector and raster spatial data. At the same time, I understood the importance of having the right settings for a map in order to accurately view and portray the maps. Hence, I used knowledge I have learned in my introduction lab to verify the maps’ coordinate systems and projections. I also implemented knowledge for changing misaligned and improperly referenced data.
Fixing misaligned and improperly referenced spatial data
Misalignment happens when the maps being viewed are projected on a different system, causing inaccurate coordinates being shown in a single map. This can cause errors in human analysis because distance, area, angles, and directions can all be distorted. In order to fix this, ArcCatalog needs to be used to first verify each maps’ projections. Then, also in ArcCatalog, navigate to the layer which you would like to change its projection. Under the section ‘XY Coordinate System’, you can then select the Geographic Coordinate System that you would like. Once all the maps are in the same coordinate system, the layers can be added to ArcMap again for viewing.
The advantages to using remotely sense Landsat data for Geographic Analysis
Landsat operates to collect data of land use, which can record vegetation type, moisture, or heat levels over time. This can be good for viewing changes overtime. Moreover, Landsat can be used in remote areas where other operations may not be able to reach. The data collected also shows different colours to represent different wavebands of radiation, which allows analysts to analyse and observe data more easily.