Hadleyville cemetery lost the majority of their burial
records. They have been experiencing
problems in selling burial lots. Since
they have no records, they don’t know which plots are empty and which are
not. A GIS was built for this cemetery
to show an image to go along with the points that were plotted. This gives the information of the headstones,
while also showing where the stone is located in the cemetery. A survey grade GPS unit was used, as well as
a UAS drone and visual interpretation skills.
Images were also taken of the headstones. The drone supplied a locator map while the
survey grade GPS unit was used to accurately map the locations of
headstones. This provides 3 pieces of
information, the accurate locations, all the information on the stones, and an
image of the stone. Some of the stones
were very difficult to read or to even be seen.
This makes it difficult to know if all of the data was received and
collected.
Study Area
Hadleyville cemetery is located just outside Eleva
Wisconsin. It is located right on the
edge of a cornfield and is a quite old cemetery. It is located right on county highway HH
between Eau Claire and Eleva. (Figure 1) The data was collected in two shifts
in early to mid September.
Figure 1. This
image shows the locations of Eleva, Hadleyville, and Eau Claire. The image shows that Hadleyville is in the
center between Eleva and Eau Claire.
Methods
The class used many different tools to conduct the
survey. GPS units, UAS drones, and
notebooks were all used to accurately describe and map the data. These tools were used to get a background on
how they work and how exactly they differ in accuracy and capabilities. The only problem faced was that the survey
grade GPS unit used took too long to gather data for all of the points. The data gathered with this unit, however was
extremely accurate. (Within 1 centimeter) This method was extremely time consuming and
time ran out while we were trying to gather the data for these headstones. To collect the data the class used notebooks,
a survey grade GPS unit, and cameras.
Although a UAS drone was used, this did not help us collect data. For this project a digital mode of data
collection would not be best, because it was so time consuming. The data collected was recorded into a
Microsoft excel file. From this file the
data was transferred into an attribute table.
This data includes whether the stone was readable, the type of stone, the
name on the stone, and the birth and death dates. (Figure 2) The hard copies of the data
gathered were put into an excel file in which the labels match that of the
headstone labels. For example, the third
headstone in the second row would be labeled B3. (Figure 3) This allowed for a
table join based on the grave id field.
The UAS data was used to more easily see the stones against the
background. This data was then used as
the background of the map to easily locate the stones and see the
attributes. The accuracy of the GPS
placed points nearly exactly where they are located in relation to the other
headstones. The pixel resolution was not
clear enough to zoom all the way in to see some of the stones. This is where the imagery coloring needed to
be changed to clearly see the contrasting colors of the stones.
Figure 2. This
is the attribute table showing some of the data that we collected. The top row shows the category. The column on the far right shows the letter
and number combination to the corresponding stone.
Figure 3. This
figure shows the rows and numbering system used to label each headstone
Results
The attributes that were used can be seen in the attribute
table. (Figure 2)
There was a lot of time spent in putting the data into an
excel file. This data was critical in
the final map created. These attributes
were easily transferred into ArcGIS.
This gives us all of the information for who is buried at each point on
the map. (Figure 4)
As a class there should have been more communication on how
to go about the process. It would have
greatly improved the data entry. This
could also have saved a large amount of time.
Communication is key in large data collection. The communication between groups could have
also been improved to save time.
Figure 4. This image
shows the information for headstone O2.
In the bottom left of the image, this is the selected point. On the right side, the corresponding
attributes can be seen.
Conclusion
The methods of this project worked well and this answered the questions that needed to be answered for the Hadleyville cemetery. The mixed forms of data that were collected really added to the overall time spent on the project. It was very disorganized and the attributes needed were not clearly discussed within the class. The errors are negligible as everything was figured out. The errors were worked through and all the data that was possible to be collected was collected. This map should be a great upgrade for the records of Hadleyville cemetery. This survey was a success as all of the data possible to read, was recorded. This GIS can be constantly updated and should be a great form of keeping the cemetery’s records in the future. Figure 5 shows the final map that was created.
Figure 5. This
image shows the final map along with the locator map that was created to show
the area in which the data was collected.
Toward the top of the locator map there is just a small sliver of UWEC
campus. The area that was mapped is very
small and located by the callout box.
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