Sunday, April 2, 2017

Cartography Mod 10 Dot Maps

Dot maps, also known as areal frequency or dot density maps are used to show the location and density of a phenomenon.  By showing a dot or symbol that represents a certain amount of a phenomenon in a relative location on a map the viewer can gain an understanding of the maps purpose. Only conceptual or “raw count” data can be used in a dot map, such as crop amounts or population. As well as the number of symbols the size of the symbols can be used to show the difference in densities of the phenomenon.
Dot maps, if properly created, can be easy for the viewer to understand the data that is being represented. A dot map not only shows the density of the phenomenon but also the relative location so trending can be seen. 
On the other hand, dot maps can easily become so cluttered that the data becomes unusable. If dot values are to small greater accuracy will be perceived by the viewer. Using larger dots only a small number will show on the map and any pattern may not be visible. Without the use of computers, dot maps can be very hard create with any amount of accuracy and it is hard to estimate density with a dot map. Dot maps should also not be used when making large scale maps.

Wednesday, March 29, 2017

GIS Vector Analysis

Below is my map showing possible campsite locations based on parameters listed at the bottom of the map. By using tools in ArcGIS I was able to develop buffering areas then use overlaying techniques to get the desired result.

Sunday, March 26, 2017

Cartographic Skills Flow Line Mapping

Below is a Distributive Flow Map. The map shows the flow of immigration (a nominal data) from multiple sources to the United States.
I used minimal stylistic effects to keep the map easy to read.  I used opaque lines so other data would not be obscured.  One Item, I was unable to apply inner glow effect, it wasn’t given as an option. Only glowing edge was offered and I thought it looked terrible so, it was not used.  




Sunday, March 12, 2017

Cartography Week 8

This weeks lab covered Isarithmic Mapping which is one method of thematic mapping. By using colors or tints one can relay information to the viewer. Isometric maps depict a continuous data phenomena and are smooth such as barometric pressure, rainfall, or elevation topography.  The map below shows the annual rainfall amounts averaged in the state of Washington using a technique of Hypsometric Tints...actual separation between colors. The screenshot below shows the same data in Continuous Tones.



Thursday, March 9, 2017

GIS Week 7-8 Data Search

Hello,
The following are my assignment submissions for this week.  The main point of the assignment was to learn and become more comfortable with data gathering and manipulation by using clipping tools within ArcGIS.



Sunday, February 26, 2017

Cartography Week 6 Data Classification


The maps above show how the same data (average population over 65 and number of persons over 65 per square mile) can be viewed differently depending on what data classification type is used.  Depending on what you want your map to convey one must be careful to select the correct classification system.  ArcMap makes data classification easy to do and I found this lab very informative and interesting.

Sunday, February 19, 2017

Cartography Week 5

Hello, this weeks assignment included a training program from ESRI's web-site. Exploring Spatial Patterns in Your Data Using ArcGIS. By using the Geostatistical Analyst tool within ArcGIS one can develop a number of visual displays including histograms, QQ Plots, Voronoi maps to display and analyze data sets.  The map below is pretty self explanatory but, by using the analyst tools one can make sure the data is good and as seen in the screen shots below that there was one outlier in this data set.   





The histogram was created by using Customize>Extensions>Geostatistical Analyst>Explore Data>Histogram. What it shows is that the data follows a standard curve but, does have one possible outlier on the right-hand side. The histogram also shows that the frequency of the data follows a normal distribution.

To create the QQ Plot I used the same technique as the Histogram but, Chose the QQ Plot option.  This shows the distribution of the data points based on current temp. and shows that it follows a norm except for the one outlier.