Project3_ Visualizing Patterns

11.04 ~ 12.05 2019

Jisoo Shon
Nov 7 · 4 min read

*going to update until 12.15

Challenge: Conceiving and designing visuals that communicate information in ways that are useful, usable, and desirable by crafting the form in ways that intuitively match the content of the piece.

Duration: 5weeks

Topic: Crime in Pittsburgh area

1105 Week 11. Exploring topics relevant to our local communities

In our third project, we are going to cover Data Visualization. Based on basic human needs, we selected the topic relevant to the Pittsburgh community. Among the following topics: transportation, gentrification, food, education, air/water quality, crime, health/wellness, and housing. I choose Crime with the other three collogues. We discussed what is the well-known case of the crime in Pittsburgh, and what kind of questions and classifications are needed to give context to the dataset. During this process, we could leverage our understanding and was able to compare the data type.

1107 Week 11. Search for information that relates to the need

LATCH-Crime

During the searching process, I realized the most data visualization work about crime were showing the various type of crime with time aspect. Therefore, I felt that information is objective and conveying the facts. Besides, there were some resources showing the relationship between criminals’ personal information and the result of a crime.

The thing most took my attention was the chart that shows the distribution of the trees, cabs, and crime at the same time. I soon realize we possibly make pre-assumption about certain topics while we collecting data. After figuring out my main interest, I checked if there were any data covering the infrastructure of the Pittsburgh area.

In addition, with students who deal with Crime, we talked about what information is possible to collect in reality and what other information(other than crime) will be useful in our context.

Manfred Max-Neef classifies the fundamental needs

Visualization is an abstraction process to map data to color and geometry

The challenge is to figure out what shapes and colors work best, where to put them and size them

1112 Week 12. Determine data set

DATA

  • Correlation between Crime_Green Space(park, tree, greenways)_Commercial building
  • Crime(Type, number-2017), Green Space(greenways, parks, trees)/ Commercial district(Facilities, restaurants, supermarket)

https://datausa.io/profile/geo/pittsburgh-pa-metro-area#economy

https://www.mrlc.gov/viewer/

http://openac-alcogis.opendata.arcgis.com/datasets/allegheny-county-land-cover-areas?geometry=-82.309%2C40.068%2C-

77.736%2C40.799https://enviroatlas.epa.gov/enviroatlas/interactivemap/

My Question

How has the distribution of green areas and commercial districts impacted the occurrence of outdoor crime depend on the timeline(day/night)?

LATCH components

How this information can be represented?

1114 Week 12.

1119 Week 13.

references- crime

1121 Week 13.

Iteration for data visualization

1126 Week 14.

Peer review

-무엇을 발표, 어떤 피드백을 받았는지

1128 Week 14.

디벨롭..

1203 Week 15.

*계획 변경 (살인 사건만)

1205 Week 15.

내러티브(스토리 보드)

어떻게 요소요소를 구성하고 디자인

1212 Week 16. Final Presentation

*going to update until 12.15

Communication Design Studio _ Fall 2019

Carnegie Mellon University _ Master of Design

Jisoo Shon

Written by

Interaction Designer @CMU MDes

Communication Design Studio _ Fall 2019

Carnegie Mellon University _ Master of Design

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