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Overview
Data Structure
Digitizing
Data Entry Errors
Level of Effort
Error Analysis
Metadata Report
Future Mapping
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Data Structure In order to
collect the data as efficiently and compactly as possible, we established two
feature classes and one look up table. We put these elements into a
Personal Geodatabase.
Buildings
Layer: Feature class—Polygon
|
Field |
Type |
Length |
Prec |
Scale |
Note |
|
OBJECTID |
ObjectID |
|
|
|
ESRI ID |
|
SHAPE |
Polygon |
|
|
|
Building Geometry |
|
BuildingID |
Short Integer |
|
3 |
0 |
Building ID number |
|
Stories |
Short Integer |
|
2 |
0 |
Number of stories |
|
LandUse_Code |
Short Integer |
|
1 |
0 |
Land Use Code |
|
Year |
Short Integer |
|
4 |
0 |
Map Year |
|
StPrefix |
Text |
6 |
|
|
Street Prefix |
|
StNumber |
Text |
6 |
|
|
Street Number |
|
StName |
Text |
25 |
|
|
Street Name |
|
StSuffix |
Text |
6 |
|
|
Street Suffix |
|
Name |
Text |
25 |
|
|
Name of Building |
|
SHAPE_Length |
Double |
|
0 |
0 |
Shape Length |
|
SHAPE_Area |
Double |
|
0 |
0 |
Shape Area |
Street Centerline: Feature
class—Line
|
Field |
Type |
Length |
Prec |
Scale |
Note |
|
OBJECTID |
ObjectID |
|
|
|
ESRI ID |
|
SHAPE |
Line |
|
|
|
Street Geometry |
|
FromAddL |
Short Integer |
|
5 |
|
Left From Address |
|
ToAddL |
Short Integer |
|
5 |
|
Left To Address |
|
FromAddR |
Short Integer |
|
5 |
|
Right From Address |
|
ToAddR |
Short Integer |
|
5 |
|
Right To Address |
|
StPrefix |
Text |
6 |
|
|
Street Prefix |
|
StName |
Text |
25 |
|
|
Street Name |
|
StSuffix |
Text |
2 |
|
|
Street Suffix |
|
SHAPE_Length |
Double |
|
0 |
0 |
Shape Length |
Land Use Table
|
Field |
Type |
Length |
Prec |
Scale |
Note |
|
OBJECTID |
ObjectID |
|
|
|
ESRI ID |
|
LandUse_Code |
Short Integer |
|
1 |
|
Land Use Code (PK) |
|
LandUseType |
Text |
20 |
|
|
Type of Land Use |
How robust your did the database design
proved to be? Note: this is based on the challenges we ran into during
digitizing feature classes (Week 3).
Regarding how robust the database design is,
referenced to the Week 1 and Week 3 projects, we divide it in two parts: 1)
Operation Aspect, and 2) Information Aspect.
1.
Operation Aspect
Here, one of the most important things to
consider to make robust a database design is the operation performance aspects
explaining right now why. To make robust this part, first, it depends of how
projected could be a displayed area (in this case, the orthophoto) because if
a photo is not projected, the information we’ll obtain could be erroneous.
Other way here in the design operation is establishing the X/Y Domain as a
result of the challenges we spent when we digitized the feature classes
because in this case, the X/Y Domain must be according to the projected photo.
If certain element at the Display Area is not present just as the cartographic
projection, it should weaken the design process.
On the other hand, other thing can robust
and/or weaken the database design we desire to include also is about
georeferencing errors. In this part, we think it’s important to emphasize
that, foe the database design, we must have a right georeferencing because, at
the moment of digitizing, several maps could not be in a correct way and,
indeed, in digitizing errors once the maps are already digitized. Finally, and
most important in the database design, are the parameters we established when
we add the fields for the design of the attributes of the feature class. One
found error at the moment of the design process is that we must take care in
establishing the field parameters (i.e.: Text, Short Integer, Long Integer,
etc) because sometimes when a person is entering a data in the feature’s table
in the editing process, it could give an error message because the parameters
were not well established at the beginning and that is one of the errors that
weaken the database design.
2. Information Aspect
This is the other aspect about how robust can
be the database design. Summarizing this part, we can conclude that some of
the information located in the map were not established (i.e.: buildings with
no addresses, no building’s name, more that one street and no obvious
delineation of how to segment the address to a portion of the building among
other problems). In this part, simply it is that if there was no information
in the map, then, we could not put anything in the tables.
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GEOG 5223: Elements of GIS: Part 2 (ESRI
Track) CD. Accessed September 2004.
How to Read Sanborn Fire Insurance Maps,
University of Virginia Library website.
http://fisher.lib.virginia.edu/collections/maps/sanborn/web/details.html.
Accessed September 2004.
GEOG 5223: Project 7, 8, 9 & 10: Final Project, Accessed September 2004.
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