Hao Wen Lin and Stephen ChiaoHao Wen Lin and Stephen ChiaoHao Wen Lin and Stephen ChiaoGeography C188 (Fall 2010): University of California BerkeleyGeography C188 (Fall 2010): University of California, BerkeleyGeography C188 (Fall 2010): University of California, Berkeley

I t d tiIntroduction C t i tIntroduction ConstraintsConstraints( i f ) i A ACalifornia has long been a top state for hosting (Unit feets) ND = Not Desireable, I= Ideal, A= AcceptableCalifornia has long been a top state for hosting (Unit feets) ND Not Desireable, I Ideal, A Acceptableg p g

i t ti l t d t H h f th t Composite Suitability Map: N i P ll ti <3000 NDinternational students. However, much of the current Composite Suitability Map: P li Noise Pollution. <3000 ND,

i t ti l di it h b i t d i t This is our “final” suitability map. Police Noise Pollution.international diversity has been invested into This is our final suitability map.

It b d i t fPolice Do not want to be to 3001~7000 Iy

i i i i S h C lif i l hIt based on our assignments of Station Do not want to be to 3001~7000 I

institutions in Southern California, namely the I=2 A=1 LD =0 and ND= -1 We Station close 7000 Ainstitutions in Southern California, namely the i i f h lif i d i i f

I 2, A 1, LD 0, and ND 1. We h i h d b h

close 7000< AUniversity of Southern California and University of sum the weighted number together 7000 AUniversity of Southern California and University of g gand reclassified our summation < 3000 NDCalifornia Los Angeles which boast of hosting 7 987 and reclassified our summation Noise Pollution < 3000 NDCalifornia, Los Angeles, which boast of hosting 7,987 into ranges of -2 to 2, 2 to 4, 4 to 6, Noise Pollution.

and 5 685 international students (respectively) for theinto ranges of 2 to 2, 2 to 4, 4 to 6,

d 6 t 10 t di l thi Fire Do not want to be to 3001 000and 5,685 international students (respectively) for the and 6 to 10 to display everything Fire Do not want to be to 3001-7000 I2009 2010 academic year 1 Meanwhile UC Berkeley more accurately As we can see St ti l

3001 7000 I2009-2010 academic year.1 Meanwhile, UC Berkeley more accurately. As we can see,

i f h b Station closey yhosted a “modest” number of 3 506 international quite a few areas have been Station closehosted a “modest” number of 3,506 international q f

eliminated due to the opportunities 7000< A,t d t 2

eliminated due to the opportunities 7000< Astudents.2 being weighed out by thebeing weighed out by the

t i t Th i h iconstraints. The map in shown in a

Cli t/P bl scale from red (very constrained)ResultsClient/Problem scale from red (very constrained)

( ) ResultsClient/Problem to green (very opportune). Resultsg ( y pp )

W h l t d th f id l l fTo attract more international students to the Northern We have located these few areas as ideal places forTo attract more international students to the Northern We have located these few areas as ideal places for t d t h i d th b ildi f LC lif i non profit st dent abroad ser ice student housing and the building of a new Language California area, a non-profit student abroad service g g g g

Systems International center, p

(b d i Chi J T i d K ) Systems International center. company (based in China, Japan, Taiwan, and Korea) yp y ( , p , , )h d i h L S t I t ti lhas teamed up with Language Systems Internationalhas teamed up with Language Systems International

i f fi d i hi ito assign for us to find an area within San Francisco toto assign for us to find an area within San Francisco to build a new study center for international studentsbuild a new study center for international students. This new center will provide students with a living U L ft f th ML L ft f th MThis new center will provide students with a living Upper Left of the MapLower Left of the Map Upper Right of the Mapspace that optimizes access to American culture (by (between Lake and (either in Bayview

pp g f p(near South Beach Sanspace that optimizes access to American culture (by (

Anza Vista( yHeights or East of

(near South Beach San F i B )

p p ( ylocating ideal hosts) and provides a helpful English

Anza Vista i hb h d )

Heights or East of Gl P k)

Francisco Bay)locating ideal hosts) and provides a helpful English neighbourhoods)Glenn Park)g ) p p gl i l H i l f thi f ilit illlearning class. Having a place for this facility will g g p yi i t ti l i t t i t d i i N th Limitationsincrease international interest in studying in Northern Limitationsincrease international interest in studying in Northern C lif i I ill l i h l b l di i LimitationsCalifornia. It will also increase the global diversity

W d t d t thi th t th i llCalifornia. It will also increase the global diversity

We used raster data- this means that there is a smallwithin these areas which helps students with developingMethod 1: Network Analysis

We used raster data this means that there is a small t f b d th f t th t ll d tMethod 2: Suitability Analysiswithin these areas, which helps students with developing

Method 1: Network Analysis amount of error based upon the fact that cells are used to Method 2: Suitability Analysisa better understanding of the world Method 1: Network Analysis pcreate lines/boundaries

y ya better understanding of the world. create lines/boundaries.Then we created suitability maps by reclassifying the data We decided that

After defining some factor layers that we wanted to work with weThen we created suitability maps by reclassifying the data. We decided that

ki i h ld b b h ki i h i ddi dAfter defining some factor layers that we wanted to work with, we Crime shapefile/raster data was unavailable to us Weworking with raster would be better than working with vectors, since adding and D i F t f F t S h l decided to do some network analysis, since many of these factors Crime shapefile/raster data was unavailable to us. We g g , g

reclassifying raster cells is quicker to operate than creating a suitability field forDesire Features of Future School decided to do some network analysis, since many of these factors were based on existing routes To create classifications based were also unable to access a lot of the more detailed landreclassifying raster cells is quicker to operate than creating a suitability field for es e eatu es o utu e Sc oo

( it f t ) I id l A t bl LD l d i bl were based on existing routes. To create classifications based were also unable to access a lot of the more detailed land each of the attribute data tables (the reclassifications are shown in the green(units: feets), I= ideal, A=acceptable, LD= less desirableupon routes we utilized the “Network Analyst” tool using the “New use data that we wanted- something that specifies exactly

each of the attribute data tables. (the reclassifications are shown in the green h t)

( ), , p ,upon routes, we utilized the Network Analyst tool using the New S i A ” f ti

use data that we wanted something that specifies exactly chart) Service Areas” function. what stores sell what.

)Retired <150 I what stores sell what.

C t i t i th fi lRetired <150 I

C t i t W f dW ld t t th i f th h l S

Constraints- in the final People Ideal for hosting Constraints- We found We could not get an orthoimage of the whole San

fconstraints map all thePeople Ideal for hosting 150~250 A

fthat fire and police g g

Francisco area (the onl sable data that e managed toconstraints map, all the p

(# f l /g

t d t150~250 A that fire and police

Francisco area (the only usable data that we managed to constraint layers have (# of people/ students. departments should be ( y gdownload was separated into three pieces and were

ybeen added together by

(# of people/ students.250< LD

pused as our download was separated into three pieces and were been added together by block) 250< LD used as our

shown in different shades of light)raster calculator andblock) constraints because shown in different shades of light). raster calculator and t d<2500 I

constraints because f i ll ti represented on a census <2500 I of noise pollution p

block group map TheAccessibility to2500 I f p

within close proximity block group map. The Accessibility to 2500 4000 A P j d C di Swithin close proximity

yellow areas show where P t Offiy

i t ti l 2500~4000 A Projected Coordinate System: of these facilities. yplaces are the mostPost Office international j y

NAD 1983 StatePlane California III FIPS 0403 Feetf f

Meanwhile being too places are the most os O ce e oi i

NAD_1983_StatePlane_California_III_FIPS_0403_FeetMeanwhile, being too constrainedmailing system 4000< LD Projection: Lambert Conformal Conicfar from these constrained. mailing system 4000< LD Projection: Lambert_Conformal_Conicfar from these

f iliti ld lfacilities would also Data sources-

fnot be ideal in the

<2000 IData sourcesh // 2 / i bi / h fil 2009/ fil ? 06075

not be ideal in the <2000 I http://www2.census.gov/cgi-bin/shapefiles2009/county-files?county=06075

O t iti i th fi lcase of emergencies. T it

p g g p y yhttp://arcdata esri com/data/tiger2000/tiger county cfm?sfips=06Opportunities- in the final f g

Transit T t ti 2000-4000 A http://arcdata.esri.com/data/tiger2000/tiger_county.cfm?sfips=06pp fopportunities map all theOpportunities Posta s t Transportation 2000-4000 A http://www.mtc.ca.gov/maps and data/GIS/data.htmopportunities map, all the Opportunities- Post

Stations Transportation http://www.mtc.ca.gov/maps_and_data/GIS/data.htmhtt // i b02 f / b it / f h /i d 2opportunities layers have been Office (access to home-Stations

No Data LD http://gispub02.sfgov.org/website/sfshare/index2.asppp yadded together and represented

Office (access to hometh d t il)No Data LD Informationadded together and represented they can send post-mail), Information

on a census block group mapTransit Stations (access on a census block group map. Th th th

Transit Stations (access i ll<5280 I Research SourcesThe more green the area, the to transportation allows <5280 I Research Sources-g

more opportunities there are inp

students to travel toAtt ti d 5280 8000

1Institute of International Education. 2010. “Open Doors 2010 Fast Facts.” IIE.more opportunities there are in students to travel to Attractions and 5280-8000 Institute of International Education. 2010. Open Doors 2010 Fast Facts. IIE.

htt // ii / /R h d P bli ti /O Dterms of building what we want different areas so that

L d k i i i i f5280 8000 A http://www.iie.org/en/Research-and-Publications/Open-Doorsf g

based on our given factors Fordifferent areas so that

th i diff tLandmarks activities site for A 2Carassi Chris 2009 “Relatively Few International Students Enroll at UCbased on our given factors. For they experience different Landmarks activities site for Carassi, Chris. 2009. Relatively Few International Students Enroll at UC B k l ” Th D il C lif iopportunities we further addedcultures across the Bay

students Berkeley.” The Daily Californian. opportunities, we further added th d t ld l

cultures across the Bay A ) L d kstudents.

8000 LDy y

http://www dailycal org/article/107679/relatively few international students ethe census data on elderly Area), Landmarks 8000< LD http://www.dailycal.org/article/107679/relatively_few_international_students_ey

people density since they are)

(access to weekend8000 LD nroll at ucpeople density, since they are (access to weekend nroll_at_ucL S t I t ti lmore likely to provide good activities and general Language Systems International .y p g

homes for studentsactivities and general

t t i t) (additional images not from online but from clipart ^^)homes for students. entertainment) (additional images not from online, but from clipart )