DESIGNING WITH DATA semester 1,2019
Yue Hao s3693015
RESUME
CV
Yue Hao (61) 416630820 s3693015@student.rmit.edu.au PROFILE
SKILL
RHINO
GRASSHOPPER
INDESIGN
ILLUSTRATOR CC
C#
iWORK - MS-OFFICE
50 %
75 %
CONTENT
PROJECT 1 THE QUANTIFIED SELF ....... 4
PROJECT 2 THE SENSORY MAP......9
2D MODELLING OF FINAL ILLUMINANCE MAP.......15-16
RAW DATA..........5
RAW DATA..........11
3D MODELLING OF FINAL ILLUMINANCE MAP.......17-19
DESIGN PROCESS......... 6
DESIGN PROCESS......... 13
FINAL MUSIC SCORE DESIGN......... 7
DESIGN PROCESS......... 14
PROJECT 3 DATA JOURNALISM........21
PERSONS.........23
RAW DATA.............24
DESIGN PROCESS...........24-29
FINAL DESIGN ........30-31
POTENTIAL USE.................32-35
PROJECT 1
The data collection of noise level on my personal learning performance at school library, home and apartment’s study room. Home
This study was conducted to determine the level of noise on my learning performance that was recorded with 50 data points and in three location, school library, home and apartment’s study room. The learning quality is highly influenced by the environment, since I got ear infection from November 2018 that sensitively affect my concentration and working time. noise is defined as unwanted sound that could give negative effects to a person both physically (such as hearing loss) and psychologically (such as frustration and nuisance). As the research, noise could make dizzy, make people feel tired, make headache and make heart palpitate. the psychological impacts of the noise on the student included hard to concentrate, stress, laziness, and less comfortable, while the highest percentage was it made the students angry and uncomfortable. During my collecting, the three location was filled with different noise.
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Yue Hao
School Libaray
The school library that I was collected in building 100 and building 45,the main noise is from students talking, computer noise and teaching noise. My home is adjacent the street, and the major noise is from fridge noise, street noise and neighbor noise. The fridge noise actually is the major noise which surprise me, the fridge noise is a long time and no changing sound which called background noise, when I focus on works, the background noise can lead to a uncomfortable and stress feelings. The apartment study room is located downstair of my building level one.its a public area for people study or relax. The major noise is from people talking and open or close the door.The test result is recorded by an apple app NIOSH SLM, I tested the fridge noise and showed the noise level is 46.3dB(A) around the fridge.
Apartment’s Study Room
Home
DESIGN
PROCESS
The information of one data point include date, location, noise data and personal feelings. After collected 50 data point with a timeline from morning to night in three days. I separate theses data into three location, school library, home and apartment’s study room. So in each location, I have enough data point of a full day time. In the home, I got data points from 9:00am to 11:50pm. In the study room, I got data points from 9:30am to 5:10pm.In the school library, I got data points from 9:30am to 9:30pm.
I choose to visualize the noise data with a timeline of a daytime in three location . compare with visualize the noise level in three location of a same time(example 2) noise level map ), a timeline of daytime can present my personal daily life better and people can more easily understand that what I have heard during a day in different location.
18th.3 9:00am 29.4 dB(A) comfortable to stay 20th.3 9:30am 28.3dB(A) comfortable to stay
Apartment's study room
18th.3 9:30am 38.8dB(A) comfortable to stay 18th.3 9:35am 57.4dB(A) noise want to leave
school library
19th.3 9:30am building100 36.7dB(A) noise want to leave 18th.3 9:45am 55.4dB(A) noise want to leave
18th.3 12:42pm 30.6dB(A) comfortable to stay
20th.3 10:40pm 26.4dB(A) comfortable to stay 20th.3 11:30pm 29.7dB(A) 18th.3 1:30pm 65.1dB(A) ok comfortable to stay 19th.3 3:20pm 42.3dB(A) 20th.3 12:42pm 38.0dB(A) comfortable to stay comfortable to stay 19th.3 4:30pm 48.5dB(A) 18th.3 12:45pm 45.6dB(A) comfortable to stay ok 19th.3 4:59pm 56.2dB(A) 20th.3 1:25pm 30.5dB(A) noise want to leave comfortable to stay 19th.3 5:30pm 32.8dB(A) 18th.3 1:40pm 37.8dB(A) noise want to leave comfortable to stay 20th.3 5:40pm 48.2dB(A) 20th.3 2:20pm 36.5dB(A) ok comfortable to stay 19th.3 6:30pm 30.2dB(A) 20th.3 3:50pm 26.7dB(A) ok comfortable to stay 20th.3 6:30pm 37.5dB(A) 20th.3 4:00pm 38.2dB(A) ok comfortable to stay
18th.3 9:55am buildinging 100 47.5dB(A) ok 19th.3 10:59 building100 47.3dB(A) comfortable to stay 19th.3 11:22am building100 46.6dB(A) comfortable to stay 18th.3 2:10pm building100 63.1dB(A) noise want to leave 18th.3 2:45pm building 100 37.6dB(A) ok 18th.3 3:26pm building100 48.3dB(A) 0k 18th.3 4:15pm building100 48.2dB(A) ok 18th.3 4:58pm building100 54.9dB(A) ok 18th.3 6:30pm building45 63.2dB(A) noise want to leave 18th.3 7:30pm building45 68.2dB(A) 20th.3 7:10pm 40.2dB(A) ok 19th.3 5:10pm40.2dB(A) comfortable ok 19th.3 7:45pm 38.4dB(A) 18th.3 8:45pm building45 54.1dB(A) ok ok comfortable to stay 20th.3 8:00pm 36.6dB(A) 18th.3 9:30pm building45 53.2dB(A) comfortable to stay ok 19th.3 8:20pm 28.7dB(A) ok 20th.3 8:21 30.2dB(A) ok 20th.3 9:01pm 48.2dB(A) ok 19th.3 9:30pm 36.4dB(A) ok 19th.3 10:48pm 48.2dB(A) ok 19th.3 11:00pm 32.4dB(A) ok 19th.3 11:20pm 33.2dB(A) ok 19th.3 11:50pm 30.3dB(A) noise(computer)
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NIOSH SLM test noise level
The NIOSH Sound Level Meter (SLM) app combines the best features of professional sound levels meters and noise dosimeters into a simple, easy-to-use package. The app was developed to help workers make informed decisions about their noise environment and promote better hearing health and prevention efforts.
Noise levels A person can generally perceive a 1 – 3 dB change in noise levels. However the perceptions of noise levels are different to the actual energy that the ear is subjected. The perception of noise levels double every 10 dB, however the increase in energy experienced by the ear is doubled every 3dB. When it comes to the potential for noise induced hearing loss, it is the noise energy level that is critical. The noise energy levels considered to be excessive when noise levels exceed LAeq, 8hr of 85 dB(A) and LC,peak of 140 dB(C). picture1:noise level chart:decibel levels of common sounds with exampls, https://boomspeaker.com/noise-level-chart-db-level-chart/
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Yue Hao
Music
score
The school library exhibted the highest levels of noise, while the study room of the apartment building turned out to be the most comfortable study environment. The home is an okay study place but showing a constant level of noise from the fridge.
44 Home
Noise level with flute scale
noise level flute scale music score
noise level dB(A)
flute scale
25.00-30.00
1
30.00-35.00
2
35.00-40.00
3
40.00-45.00
4
45.00-50.00
5
50.00-55.00
6
55.00-60.00
7
60.00-65.00
1+
65.00-70.00
2+
70.00-75.00
3+
75.00-80.00
4+
After the research of the noise level. (reference: Ear Protection For Drummers ,General By DrummingPalace.) I decided to give noise levels and the same time test with flute scale. The moise leveIs I go through its from 26.4dB(A) to 68.2dB(A), so a level of 5 dB(A) is given to, totally its 9 level of the sounds. Every level correspongding a scale. as 1(do) 2(re) 3(mi) 4(fa) 4(so) 5(la) 7(si) 8(do)1+(higher do)2+(higher re)3+(higher mi)4+(higher fa).
Apartment’s study room
School library
my flute version performen is upload in Vimeo.below is the link.
https://vimeo.com/326742041
www.flutetunes.com
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Facing Problems
the first time, I collected data about the feelings vary in different reading categories. I collected the dates,reading titles, feelings and heart beats.After the data collection, I noticed that heart beats and qualitative feelings are not representative of my reading experience. The changing of heart beats during the reading is rarely.Because of that, I start the second data collection,the connection between noise level and study concentration, learning performance.
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Yue Hao
second times datat collection noise level with feelings
sensory mapping PROJECT 2 : ILLUMINANCE OF MELBOURNE CAMPS PARK
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task 2
The data collection of illuminance level at the park of University of Melbourne and the influence of on my personal comfort and learning performance
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I chose Melbourne University because my home is close to here. In my spare time, I often go to the library and lawn to rest and eat. I am familiar with the facilities and location of the University of Melbourne. So I want to test the illuminance of this area and get a conclusion to help me choose the right brightness to rest, read a book or eat on the lawn.
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Yue Hao
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5
1 Pine tree 2 chair 3 Magnoliaceae tree 4 Palm tree 5 chair 6 Mulberry 7 Pine tree 8 Pine tree 9 chair
4 3 2 1
Illuminance data of two days Afternoon time in two days
23.04.2019 3:30pm
22.04.2019 2:55pm
427 lux 362 lux 387 lux
2133 lux 3511 lux
465lux 1397 lux 1230 lux 280 lux 336 lux 491 lux 1156 lux
12686 lux 2523 lux 4144 lux 542 lux 12424 lux 1313 lux
Tables
Tree range
Chair
23.04.2019 10:10am
22.04.2019 9:35am
3439 lux
Buildings
364 lux
4720 lux
331 lux
3389lux
380 lux
4210lux
442lux
4431 lux
1789 lux
16701 lux
1562 lux
4182 lux
554 lux
3290 lux
325 lux
1109 lux
587 lux
8291 lux
891 lux
2100 lux
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367 lux 572 lux 589 lux 286 lux 331 lux 627 lux 895 lux 963 lux
122 lux 1017 lux 1108 lux 176 lux 185 lux 1453 lux 1703 lux 1678llux
Illuminance data of two days Morning time in two days
333 lux 360 lux 496 lux 936 lux 943 lux 895 lux
23.04.2019 3:30pm
165 lux 198 lux 197 lux 1178 lux 1645 lux 1449 lux
22.04.2019 2:55pm In the data I collected, I showed a total of two days of data. The first is April 22, the weather
312 lux 521 lux 612 lux 189 lux 310 lux 559 lux 819 lux 923 lux
56 lux 178 lux 679 lux 231 lux 160 lux 1567 lux 1767 lux 1927 lux
is cloudy and there are plenty of shaded areas in the park. The brightness in the morning is lower than the brightness in the afternoon. The second data is April 23rd. The weather is sunny and the data is much larger than the 22nd. Similarly, the brightness in the morning is lower than in the afternoon. The green circle shows the range of trees, the bigger circle
320 lux 378 lux 452 lux 879 lux 879 lux
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23.04.2019 10:10am Yue Hao
799 lux
155 lux 178 lux 191 lux 1871 lux 1265 lux 1513 lux
means the range of darkness of the tree’s size.
22.04.2019 9:35am
is bigger
USING
TECHINOLOGY
Light Meter Illuminance is a measure of how much luminous flux is spread over a given area. One can think of luminous flux(measured in lumens ) as a measure of the total�amount� of measure of the intensity of illumination on a surface. Features: - Realtime measurements - One-time measurement - Average and Max values - Indoor and outdoor modes - Front and rear cam - Lux and Foot candle measurements 13
rectangle
constract point
pull point
remap
DESIGN
Yellow point is the attractor point
polygon,--divide curve --polyline
extrude
PROCESS
I use grasshopper in rhino, Grasshopper can help me show graphics very well. I can control the size and shape of the graphic more precisely. In my design, I have a basic pattern, with a map size, I give 12*36 pattern graphic map. Every small patterns to display the area data in this area. The edge direction of every polygon of the graphic will change by the brightness of the map area. The more dark the pattern there are more like small star.I use the attractor point to give the location of the fixed point. The brightness will change at the specified position. And the size of the changed range is programmed by the size of the shadow of the tree.
From curve to surface
shaded surface
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Yue Hao
Illuminance I use pink to show a map of the sunny day, in the morning the color is deeper than the afternoon, because the morning light is lower than the afternoon.
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Illuminance I use blue to show a map of the raining day, in the morning the color is deeper than the afternoon, because the morning light is lower than the afternoon.
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Yue Hao
2D To
3D
Infront view
perspective view
The length of pattern is also can be changed by the illuminance, the area more dark the height is higher. 3D details
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3D
Redering
Redering with different materials, to show a realistic scene.more dark area the grass is more dry.
Rendering top view
Redering perspective view
rendering view Details
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Yue Hao
Materials with design conception
Gray and Red old brick wall
Stone Gravel
I choose the different materials to show the brightness of this area, the grass dry is the darkest area in the map, the grass dark is the second dark area, the grass fresh is the area always with enough sunlight. The grass relistic show the footpath. The tables and buildiings I choose with the real materials which are stone gravel and gray and red old brick wall. Grass Fresh
Relistic Grass
Grass Dark
Grass Dry
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Potential using area campus information
niversity l park tion of u inance of schoo a rm fo In Illum
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Yue Hao
task 3
Data Jounalism Medicare of Australia
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Yue Hao
PERSONA:
Yue Hao
Master Student LIVING IN MERLBOURNE AGE : 27 I am Eve, 27, and I am studying a Master’s degree at RMIT University. I tend to get sick quite often and need medical attention. In one night, I blacked out for a couple of minutes and was not able to move afterwards. My boyfriend tried to find a doctor for me, but he simply couldn’t find one. A website to find doctors that are currently open would help me in these situations.
PERSONA:
Daniel Reissner PHD Student LIVING IN MERLBOURNE AGE:28
I AM DANIEL REISSNER (28), A PHD STUDENT AT THE UNIVERSITY OF MELBOURNE. I USUALY WORK LATE AND MY POTENTIAL TIME TO SEE A DOCTOR IS VERY LIMITED. ONCE AT UNIVERSITY, I WAS IN A HURRY AND HIT MY TOE AGAINST MY DESK WHILE STANDING UP. IT WAS ALREAY AFTER 5:00PM AND I COULD NOT FIND AN AVAILABLE DOCTOR. SO I NEEDED TO RETURN HOME WITH A POTENTIALLY BROKEN TOE. A WEBSITE SHOWING DOCTORS AFTER THE USUAL WORKING HOURS WOULD HELP ME A LOT WITH MY TYPICAL STUDYING TIME.
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RAW DATA AUSTRALIA MEDICARE LOCATION
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Yue Hao
DESIGN PROCESS
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DESIGN FOR var mapimg; //var csv = require(‘file:///Users/eve/Documents/Yue%20semester%202%20/designing%20with%20data/ task3/jquery.csv.js’); var clat = -27; var clon = 133.7751; var ww = 1024; var hh = 512;
OPENING HOURS & LUNCH BREAK
//var lat =-31.921836; //var lon =115.9502062;
Open After 16:30:00 pm Close at 16:3000 pm
var medicarelocations; var zoom = 3.1; var data; //var earthquakes; function preload() { // The clon and clat in this url are edited to be in the correct order. //studio: true, // false to use non studio styles //style: ‘mapbox.dark’ //streets, outdoors, light, dark, satellite (for nonstudio) mapimg = loadImage(‘https://api.mapbox.com/styles/v1/mapbox/light-v9/static/’ + clon + ‘,’ + clat + ‘,’ + zoom + ‘/’ + ww + ‘x’ + hh + ‘?access_token=pk.eyJ1IjoiY29kaW5ndHJhaW4iLCJhIjoiY2l6MGl4bXhsMDRpNzJxcDh0a2NhNDExbCJ9. awIfnl6ngyHoB3Xztkzarw’); //earthquakes = loadStrings(‘https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_day.csv’); //toiletlocations = loadStrings(‘http://civicdataprod1.cloudapp.net/storage/f/2014-0709T17%3A35%3A39.552Z/toilet-locations.csv’); medicarelocations = loadStrings(‘https://data.gov.au/data/dataset/70f76a9e-d450-4567-9760-290dea54229c/resource/7eb30338-768e-436c-9dde-dc7a1066c9c9/download/medicare-office-locations-as-at2-may-2019.csv’); //data = $.csv.toArrays(csv); //file:///Users/eve/Documents/Yue%20semester%202%20/designing%20with%20data/task3/australia%20toilet%20copy.csv.toArrays(csv); //for (){} console.log(toiletlocations); } //’http://civicdataprod1.cloudapp.net/storage/f/2014-07-09T17%3A35%3A39.552Z/toilet-locations.csv’ function mercX(lon) { lon = radians(lon); var a = (256/ PI) * pow(2, zoom); var b = lon + PI; return a * b; } function mercY(lat) { lat = radians(lat); var a = (256/ PI) * pow(2, zoom); var b = tan(PI / 4 + lat / 2); var c = PI - log(b); return a * c; }
function setup() { createCanvas(ww, hh); translate(width / 2, height / 2); imageMode(CENTER); image(mapimg, 0, 0); var cx = mercX(clon); var cy = mercY(clat); var x = mercX(lon) - cx; var y = mercY(lat) - cy; //fill(255, 0, 255, 200); //ellipse(x, y, 20, 20);
for (var i = 1; i < medicarelocations.length; i++) { var data = medicarelocations[i].split(/,/); //console.log(data); var lat = data[6]; var lon = data[7]; var mag = data[9]; var outside = data[10]; var x = mercX(lon) - cx; var y = mercY(lat) - cy; // This addition fixes the case where the longitude is non-zero and // points can go off the screen. if(x < - width/2) { x += width; } else if(x > width / 2) { x -= width; }
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Yue Hao
with a color effect to show the australia medicare centre opening hous and lunch break ,the blue colours are more convenier for patients. The second effect is the outcircle with colour effect, if they have a irregular lunch break or open hours the color will be highlited with light blue,otherwise its light pink. The third effect is size of the location. the bigger size is the better selection for patients to choose,they have longer opening hours and no lunch break.
No Lunch Break
Have Irregular time open
WEBSITE STYLE DESIGN Different user interface NASA Black Marble Natural Earth II NASA Black Marble Light V9 Dark V8 Dark V9
Natural Earth II
NASA Black Marble
Nature Earth V9
Light V9
Dark V8
Dark V9
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DATA POINT ANLYSIS AND DESIGN
give a more clear size of visualize and differnt result hours
a more bigger size of openning hours and no lunchbreak with a green color effct.
NationalMap Print View
NationalMap Print View
Legends
Legends
User Data STATE
User Data STATE
NSW VIC QLD WA SA TAS ACT NationalMap Print View NT
Dataset Details User Data
NSW VIC QLD WA SA TAS ACT NationalMap Print View NT
Dataset Details User Data
Please contact the provider of this dataPlease for more contact information, the provider including of thisinform data f constraints. constraints.
Legends
Legends
Comma-Separated Values (CSV) URL Comma-Separated Values (CSV) URL
http://data.gov.au/data/dataset/70f76a9e-d450-4567-9760-290dea54 http://data.gov.au/data/dataset/7 768e-436c-9dde-dc7a1066c9c9/download/medicare-office-locations-a 768e-436c-9dde-dc7a1066c9c9/downl
User Data STATE Data URL NSW NSW DownloadVIC the currently selected data in Download CSV format the currently selected data in VIC QLD QLD WA WA SA SA TAS TAS ACT (NSW ACT Australia, AusHydro Contributors Geoscience Geoscience Australia, Department AusHydro Land NT andDepartment NT Queensland Department of National Resources Queensland Mines, Victorian of Nation De Land, Water and Planning, South Australia Land,Department Water and Planning, for Environmen South Resources, Tasmanian Department of Resources, Primary Industries, Tasmanian Parks, Departmen Water a User Data DataSTATE URL
a smaller size with a pink light colors effect.
the final, with pink and blue color
Map Credits 28
Yue Hao
Map Credits
AUSTRALIA INFRASTRUCTION KEY FREIGHT ROUTE ANLYSIS The Infrastructure distribution in a country always be a main reason for the numbers and locations of medicare centres. In the city area and Multi-population area, the numbers of medicare centrs is higher. Therefore, understand and anlysis the local infreastruction route is essential reaserch for this project.
rail
road
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Key Freight Route Affects The Distribution of Medical Facilities DESIGN MEDICAL CENTRE ON ROAD ROUTE
MEDICARE LOCATION
FINAL VEIW
ROAD ROUTE
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Yue Hao
Optimal living area for patients
RAIL ROUTE MEDICARE LOCATION
I analysed the clustering of medicare centres around public traffic areas and identified three best areas with the easiest access to medicare clinics: Brisbane shows the most density, followed by Sydney and Melbourne. Patients at risk should choose to live near one of these clusters to have easy access to Medicare facilities.
best living area second best living area
ROAD ROUTE MEDICARE LOCATION
third best living area
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It can help patients to choose their living area or understand the medical distribution in Australia.
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Yue Hao
Todayâ&#x20AC;&#x2122;s Google maps or other web design or app less use different graphic annotations or different colors to distinguish between different features. So this design can help people better. Can be used as a speech or a thesis.
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Medicare is the publicly funded universal health care system in Australia. Operated by the Department of Human Services, Medicare is the primary funder of health care in Australia, funding primary health care for Australian citizens and permanent residents including Norfolk Island. Australian medical care is supported by insurance and taxation. There is a lot of research on medical mechanisms, but there are very few surveys about clinic opening hours and how people receive medical help after closing business. In a public area, the touch screen service can be used for information searching.
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Yue Hao
MEDICARE WEB DESIGN POTENTIAL USE
WEBSITE & APP INTEGRATION
GOVERNMENTGROUP MEETING
PUBLIC SERVICE AREA PANELS
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LIST OF REFERENCES Medicare Office Locations - 2 May 2019, dataset, available at https://data.gov.au/data/dataset/70f76a9e-d450-45679760-290dea54229c/resource/7eb30338-768e-436c-9dde-dc7a1066c9c9/download/medicare-office-locations-as-at-2may-2019.csv, last visited on 03/06/2019 Dunt, D., Wilson, R., Day, S. E., Kelaher, M., & Gurrin, L. (2007). Impact of telephone triage on emergency after hours GP Medicare usage: a time-series analysis. Australia and New Zealand health policy, 4(1), 21.