Belle Rehder
Assignment 3
A view of the world.
Projection Type:
Geographic Coordinate System: GCS_North_American_1983
Datum: D_North_American_1983
Prime Meridian:
This view is called “world from space”
N
A view of the contiguous
North_America_Albers_Equal Area_Conic Projection: Albers False_Easting: 0.000000 False_Northing: 0.000000 Central_Meridian: -96.000000 Standard_Parallel_1: 20.000000 Standard_Parallel_2: 60.000000 Latitude_Of_Origin: 40.000000 Linear Unit: Meter GCS_North_American_1983 This is a copy with selected features of a map from
ESRI. This data comes from mistakenly using templates and NOT template
data.


This is a projected view that was created using the above projections. I
made this by opening the main
data frame and selecting
Determine the approximate latitude and longitude of three cities.
|
|
|
|
|
69
46’4.267’’W |
112
4’53.497’’W |
105
56’56.429’’ |
|
44 22’31.0’’ N |
33 34’2.53’’N |
35
40’50.791’’N |
What is the distance between
What are the same distances in
kilometers? Length: 3,853.317091 Kilometers
What is the distance between
Augusta and Olympia in miles if the view is projected into Albers Equal Area? Length:
2,547.760236 Miles, Length: 4,110.553263 Kilometers
Which capital city is the most populous?
Which capital city is the least
populous?
Which capital city has the highest
elevation?
Create a view of

I
struggled with this assignment, but with the help of a more reading and a tutor
(Thank you Kelly!!) I learned some important points about GIS projections.
There are three ways to get selections for projections. To make a selection you
can:
1. Build a Query, then open a)-Attribute Table, b)-Options Tab c)-Select by Attributes d0-Used “Get Unique Values” 2. Graphically – use select tool in toolbar and then select features in the map 3. Select straight from attribute table.
I
also learned the importance of “template data” vs
“template”. Projections chosen will give you a view that is specific to a
geographical area and “outside this view” the data may be visually skewed (to
me it looks somewhat warped) This is because the data that is “spheroid” in the
normal space is laid flat and represented
2-dimensionally.