For this lab we worked with Georeferencing raster data and polygon data in order to make them line up have a lower error. It involved using the georeferencing tools to match the corners of unique features and updating them with control points so that the Root Mean Squared error was low enough to show that the accuracy of the overall image was high. In addition we worded with editing features and adding new ones to existing layers as well as creating hyperlinks to images. I learned how to use an actual design and have it line up with the LiDAR data. I also learned to link images to data and have it accessible for others. Below are the final products of my work.
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LAB 6 Scale Effect and Spatial Data Aggregation
In regards to the effects of scale on vector data I learned that as the larger the scale the larger the units that are measured come out to ...
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In this lab we worked with Isarithic Maps. More specifically we created a map that showed the annual precipitation and how it relates to el...
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In regards to the effects of scale on vector data I learned that as the larger the scale the larger the units that are measured come out to ...
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The use of interpolation for water quality in Tampa Bay is actually a excellent use of this kind of data. Interpolation is the creation of n...
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