Lab 1 Report
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School
University of Guelph *
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Course
2480
Subject
Industrial Engineering
Date
Dec 6, 2023
Type
docx
Pages
4
Uploaded by DeanOkapi3781
Part 1:
ESRI Training 1 - Getting Started with ArcGIS Pro
ESRI Training 2 - Getting Started with Data Management
ESRI Training 3 – Introduction to coordinate systems
Part 2:
Q1: The two fields that best describe the location of each observation are latitude and longitude. The
field that describes the reliability of that position is the positional accuracy column.
Q2: Three reasons to use the common name field instead of the species guess field are that the common
name field has all the names in the same language (English), it is not missing any entries (no null spaces),
using the common name will allow more people to reference the data as they do not have to guess what
the observer thought the animal was.
Q3: a) The observation data is point data
b) The provinces are polygon data
c) The roads are line data
Q4: There are 274 observations of humpback whales
Q5: The attribute query used to answer Q4 was “select by attribute” utilizing common_name.
Q6: The most recent Eastern American Red Fox observation was on 11/6/2021
Q7: The answer to Q6 was determined by using a “select by Attribute” query, selecting common_name
by “eastern American red fox”, highlighting the selected attributes, then scrolling the attribute table until
a highlighted row was found.
Q8: There are 2 observations that occurred north of 49° latitude
Q9: The single attribute query that accomplishes Q8 is “
common_name
=
'Eastern American Red
Fox'
And
latitude
>
49.00002176
”
Q10: Assuming a radius of 50km around each megacity location, 30185 animals are found “within” a
population center. Therefore 1-(30185/109866) = 0.725 = 72.5% of observations occurred outside of a
population center.
Q11: Q10 was answered by using a select by attribute query to identify the mega cities, then using a
select by location query to relate the found iNaturalist observations to the found megacities within an
assumed radius of 50km. This produced a value of 30185 observations. Subtracting this from the total
number of observations returns the number of observations located outside of a population center
(79681).
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Part 3:
East-most whale: 47.516667, -52.633333
West-most whale: 54.149719, -132.644604
Q12:The distance between the two points is 5377.48 km
Q13: The distance between the 2 sightings is 8983.56 km
Q14: The distance is 5377.48 km
Q15: The new distance is the same as the geodesic distance calculated in Q12
Q16: The new distance is less than the planar measurement found in Q13
Q17: The planar area of Manitoba is 1957031.05 km
2
Q18: The new area is 656698.00 km
2
Q19: Using the geodesic method the area of Manitoba is 641481.08 km
2
. The projection that comes
closest to the geodesic method is the planar measurement using the world Mollweide projection. This is
because the Mollweide projection considers the curvature of the earth whereas the Mercator projection
fully flattens the globe.