M6

 


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About Me

  My name is Reese and I am in my third set of courses in this GIS program at UWF. I work full time as an Environmental Specialist for a local municipality, which is what my story map is all about (  https://storymaps.arcgis.com/stories/4cf090796d3f4682a018a53db55ee664 Links to an external site.  ). I have helped with lots of GIS projects in my environmental career, and taken one GIS course in my Environmental Science bachelors degree before I started this program. I absolutely love geography, history, and maps in general. Because I have done so much GIS work in the environmental and natural resource field already, I decided that I wanted to become even more skilled in this realm, which is why I joined the GIS program here. My goal in going through this program is to be as valuable to my city in environmental and geographic information science as possible. I also want to be the person who is looked to when any complex questions could be answered through GIS.   I...
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M3

One tool I learned in this lab that I found very useful was using the elevation tab in properties to input a cartographic offset to manipulate the visualization of specific features that may be obstructed or out of sight. This allows the creator to focus on certain features or data so that the viewer can more easily see what is being shown. It is pretty simple, but without it one may be lost trying to fixate the viewer on the intended features. Another useful tip I learned was to use "TarIsVis =" and "Length 3D is" expressions during line of sight analysis. These expression will tell you if the target is visible or not (0=not vis, 1=vis) and give you information about distances from the target. I also learned how to use viewshed anaylsis to model the range of visibility in an area, and how to alter that range. You do this by running the viewshed tool to pick up the features you are modeling to create the viewshed. Then you use raster functions to calculate light cov...
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M5 Choropleth and Proportional Symbol Mapping

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  This module we learned how to create a choropleth map by using two parts of the data from a set and creating graduated color symbology that reflects the ratio of these two parts. This map was wine consumption to population density in each country. We used the histogram to evaluate the breaks in the data and then utilized classification methods, data exclusion, labeling, and symbology to make the map portray the data in an accurate and interesting way. I used natural breaks (jenks) classification method, which really groups together the data in an accurate way that isn't monotone. It gives the viewer a sense of where the countries group together on this topic. 
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