SuhYoon Kang
Assignment 6
Mar.29.2013
1.
Create a folder structure to effectively organize data for your project - list it out in text or diagram format or
provide a screen shot
Final Project Cambodia
education
Downloaded
data
Project Work
Directly related
to Education
Pdfs
2.
Shape files
Excel
Pdfs
Other relevant
socioeconomic
info
Final Maps
(pdfs)
Shape files
Excel
On-going Maps
Temp Folder
Decide what would be an appropriate coordinate system for your project and, if necessary, project your data
sets into that coordinate system. For documentation, provide the projection information (name, projection
type, linear units, and create a screen print of the Source tab's coordinate system section (including linear
units) for each of your four data sets).
The four data sets used for this assignment are 1) Cambodia Schools, 2) Cambodia major roads, 3)
Cambodia provincial map, 4) Cambodia main built-up areas. Cambodia Schools, Cambodia major roads,
Cambodia provincial map was already projected to WGS_1984_UTM_Zone_48N coordinate system. For
Cambodia main built-up areas, I had to use project tool to change its projection to
WGS_1984_UTM_Zone_48N. Lastly, data frame properties was in geographic coordinate system. So, I
changed the coordinate system to projected coordinate system WGS_1984_UTM_Zone_48N.
Dataset 1: Cambodia schools
Projection information
Name: WGS_1984_UTM_Zone_48N
Projection: Transverse_Mercator
Linear Units: Meter
Dataset 2: Cambodia major roads
Projection information
Name: WGS_1984_UTM_Zone_48N
Projection: Transverse_Mercator
Linear Units: Meter
Dataset 3: Cambodia map (provincial level)
Projection information
Name: WGS_1984_UTM_Zone_48N
Projection: Transverse_Mercator
Linear Units: Meter
Dataset 4: Cambodia built-up areas (Urban/village/settlement)
Projection information
Name: WGS_1984_UTM_Zone_48N
Projection: Transverse_Mercator
Linear Units: Meter
Data frame projection
3.
Clip and/or select as necessary to reduce your data sets to just your project area of interest - create shape
files out of these. For documentation, export a graphic of your map showing the data sets reduced to your
area of interest.
[Provinces near the capital]
[Provinces in the eastern part of the country]
4.
Calculate areas for any polygon data sets in desired units (e.g., square km, hectares, acres) and length for
any line data sets. To document this, create a screen print of the relevant attribute tables with your new
area/length fields).
Area is already in the attribute table. The area of the selected provinces around the capital is approximately
33927 km2 and the area of the selected provinces in the eastern part of Cambodia is approximately 49452
km2
[Provinces near the capital]
5.
[Provinces in the eastern part of the country]
Use at least 4 of the following tools to tell us something about your project area - document your answers
by telling us what question(s) you asked, what you did to find the answer (you can use screen prints) and
what the answer is. Also include a brief explanation of why each answer might be wrong, and if you
encountered technical difficulties, give a brief explanation of those.
Question asked:
- How many schools are in your study area? Which areas have the highest school density and which areas
have the lowest school density?
1. Spatial join
Joining Cambodia Schools point shape file with Cambodia provinces polygon shape file
2. Select by attributes:
[Provinces near the capital]
Selected the 7 provinces out of 24 provinces from the attributes table -> created new layer with selected attributes
[Provinces in the eastern part of the country]
Selected the 4 provinces in the eastern part of the country from the attributes table -> created new layer with selected
attributes
3. Viewing Statistics in a table
[Provinces near the capital]
[Provinces in the eastern part of the country]
4. Field Calculator (km2 /school) and viewing statistics in a table
[Provinces near the capital]
[Provinces in the eastern part of the country]
Answer:
In the study area there are total of 4397 schools (3712 schools in areas near the capital and 685 schools in the four
provinces in the eastern part of the country).
There is big gap in school density across the provinces examined. Phnom Penh Province, where capital is, has the
highest school density with 1 school in every 2 km 2. In the provinces around the capital the mean school density is 1
school in every 9.4 km2. However, the 4 provinces in the eastern part of the country show much lower school density.
The province with the lowest school density is Mondul Kiri province. In this province there is on average 1 school in
every 178 km2. The mean school density for the eastern provinces is approximately 1 school in every 93 km 2.