Nathan Berger Portfolio: Geographic Information Systems

  Proportional Symbol Mapping in GIS In todays article, we are going to talk about two types maps. Proportional and Bivariate Choropleth maps. One is used to display data that is proportional to a clustering radius of location. For example, a proportional map can be used for population ort even crime data per city. The bigger the circle on the map, the more data exists at that location. therefore, the bigger the circle, the more data that is being represented. It also shows which areas have a small amount of data, thus representing a small circle.  https://www.axismaps.com/guide/proportional-symbols Map of India displaying population counts in each city: Map Legend I first wanted to focus on making my population proportional circles legible on my legend. To do this, I converted my legend with multiple circles into a graphic. I then moved the circles on top of each other, putting the circles smallest to largest oriented to the bottom of the legend expanding outward. Each circle was give

 Bringing Data To Life The art of data science, statistics, business intelligence, and GIS... Today is going to be a fun article on infographics. Please reference the graphic below... In this graphic I needed to tell a story. I am conveying to my map reader that insufficient sleep and mental distress are very much related to each other. In the scientific words, these two variables have a high positive correlation. The maps above are demonstrating the percentages of insufficient sleep percentage per county and the mental distress percentage per county. Both of these variable are normalized, as they are calculated percentages using population data of each county in the state of  Georgia and affected people in each country for the corresponding variable.  Positive Correlation In a scatter plot, we can compare two variables. If the line is a linear progression running from SW to NE, then you have a positive correlation. this means that the two datasets you are working with are related to e

 Choropleth Mapping using Colors in GIS Basics In Color In GIS, we use colors to display point, polygon,  vector, and raster data in a way in which the user can understand the map. Colors help identify terrain, natural vegetation, or even icons of interest on a map. Today we are going to talk about how a GIS user can manipulate colors to display Choropleth maps regarding population changes, land use, and unique color ramps.  Working with RGB and HSV Colors Tha image above shows RGB values and HSV values. These values are how the GIS user selects the hue and saturation of values to derive meaningful symbology to data on a map. As you can see, by changing these values we can alter colors such as keeping the hue (red for example) but altering the saturation of light to create shades of light red and dark red. By changing the hue into a divergent color ramp, we can have symbology that uses multiple colors and shades from light to dark. Working with the hue and saturation in how the map rea