In this week's module, we learned how to use dot mapping to
represent population density. The objectives of learning this subject
was to join spatial and tabular data, utilize dot density symbology,
select suitable dot size and unit valve, and utilize the mask function
to manipulate the dot placement. The map that I created this week is the
population density of South Florida in 2000. This map shows the
population as dots in the urban areas of South Florida. Each of the dots
represents 20,000 people.
This map was primarily
created in ArcMap and the small portion in AI. In ArcMap, I first open
SouthFlorida.shp and added the SHeet0$.xls sile which I then used the
'Join' tool to combine the census data of the xls file with the South
Flrida counties. After joining the two files, I opened the 'Layer
Properties' window and selected the 'Symbology' tab. In the 'Symbology'
tab, I was able to manipulate the presentation of the population by
selecting 'Quantities' and 'Dot Density'. I added the 'Population' field
as a symbol so now the data is symbolized on the map. I also
manipulated the dot size and unit valve to accurately display the
population. To position the dots in the right places on the map, I used
the 'Masking' function which allowed me to place the dots only in the
UrbanLand.shp file. I created the first part of the legend in ArcMap
which was the basic information about the map. The second part of the
legend was created in AI. I imported the map into AI and created a new
layer for the second part of the legend which shows the low, medium, and
high densities of the population. I used the 'Rectangle' tool to create
3 boxes to show the different densities and I also used the 'Ellipses'
tool to create the dot density in each box.
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