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# (PART) Getting Started {-} | ||
# Introduction {#intro} | ||
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## Scope | ||
## Who is this for? | ||
## How to read this book | ||
## Structure of the book | ||
## Motivation | ||
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In the past, I haven't paid much attention to the challenges related to urban development. Although I have been aware of the issues with poor infrastructure in cities in India, I never fully grasped the severity of the problem, nor did I connect the individual inconveniences I experienced to a larger systemic issue. Admittedly, this lack of awareness could be viewed as naive or shortsighted, but it is what it is. | ||
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You can label chapter and section titles using `{#label}` after them, e.g., we can reference Chapter \@ref(intro). If you do not manually label them, there will be automatic labels anyway, e.g., Chapter \@ref(methods). | ||
However, in 2021, my perspective changed when I stumbled upon an Instagram account called "bengawalk" run by Pravar Chaudhary. Through this account, Pravar documented his observations of the streets and people of Bangalore, highlighting a range of issues and interactions that occur on a daily basis. Whether it was a simple post about wayfinding, accompanied by a single hashtag or a video of person crossing a busy street despite being next to a footbridge, to a more complex analysis of traffic congestion and flyovers, the account provided me with a new lens through which to view the city and its challenges. | ||
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Figures and tables with captions will be placed in `figure` and `table` environments, respectively. | ||
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```{r nice-fig, fig.cap='Here is a nice figure!', out.width='80%', fig.asp=.75, fig.align='center'} | ||
par(mar = c(4, 4, .1, .1)) | ||
plot(pressure, type = 'b', pch = 19) | ||
``` | ||
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Reference a figure by its code chunk label with the `fig:` prefix, e.g., see Figure \@ref(fig:nice-fig). Similarly, you can reference tables generated from `knitr::kable()`, e.g., see Table \@ref(tab:nice-tab). | ||
As a designer and a person interested in using data to understand problems, this appealed to me as one of the most tangible, omnipresent topic that I had _never_ fully paid attention to. From there, I have read through countless documents on urban mobility, walkability, transport and streets; admittedly one of the best rabbit-holes I've fallen into. The data-storytelling enthusiast in me always wants to find ways to mould information into a spreadsheet I can import into R or a shapefile I can visualize in QGIS, which is what I did with this too. | ||
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```{r nice-tab, tidy=FALSE} | ||
knitr::kable( | ||
head(iris, 20), caption = 'Here is a nice table!', | ||
booktabs = TRUE | ||
) | ||
``` | ||
The more I've engaged with walkability and urban mobility, though, I've realized that quantitative data is often not enough to describe something as complex as streets and transport, or the people who use them. In my research on street usage and accessibiilty in Ejipura, Bangalore, several new insights came up through qualitative analyses that I would have completely missed if I was focusing on large numbers. | ||
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## Scope | ||
## Who is this for? | ||
## How to read this book | ||
## Structure of the book | ||
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You can write citations, too. For example, we are using the **bookdown** package [@R-bookdown] in this sample book, which was built on top of R Markdown and **knitr** [@xie2015]. |
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# Structure of This Book |
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# (PART) Quantitative Methods {-} | ||
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# Quantitative Assessments | ||
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## Data Collection | ||
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# (PART) Case Studies {-} | ||
# Interpreting and Presenting Results {#presentation} | ||
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## Communicating Results | ||
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# (PART) Conclusion {-} | ||
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# Key Points | ||
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## Additional Directions |
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toc: | ||
collapse: section | ||
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bookdown::gitbook: | ||
css: style.css | ||
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