Giter VIP home page Giter VIP logo

francine-stephens / social-life-of-neighborhoods Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 404.61 MB

Code to build the website tutorials for the Social Life of Neighborhoods course offered through Stanford's Sociology department in the spring quarter of 2021.

Home Page: https://bookdown.org/fis/social-life-of-neighborhoods/

HTML 83.45% JavaScript 6.37% CSS 9.48% TeX 0.70%
tutorials neighborhoods gis arcgis-online spatial-data urban-analytics storymaps segregation gentrification crime-data nonprofit-organizations

social-life-of-neighborhoods's Introduction

Data Preparation & Mapping Tutorials for the Social Life of Neighborhoods Course

The Social Life of Neighborhoods was a course offered through Stanford's Sociology Department in the spring of 2021. The underlying goal of the course is to mount a quarter long intellectual investigation of a neighborhood and the various processes that structure its “social life”— that is, the way it developed historically, reproduces itself on a daily basis, and is subjectively experienced by various individuals and groups. View the course syllabus to see a complete description of the course and all of the assignments.

This repository contains the code used to create each tutorial for the course assignments. The website includes a main landing page to orient the reader and seven distinct chapters, which are tutorials that guide the students through the steps required to create maps and other visuals for the course assignments. The tutorials introduce students to the fundamentals of handling spatial data, creating interactive web-maps using ESRI ArcGIS Online, and compiling their web-maps and other types of multimedia into a data-storytelling platform. A table of contents for each of the tutorial pages is listed in the table below. The names of the rmarkdown files in the main-directory correspond to the chapter number and tutorial name.

Chapter Tutorial Name
2 Using Social Explorer
3 Intro to ArcGIS Online
4 Geocoding
5 Mapping Crime Data
6 Mapping Segregation
7 Mapping Gentrification
8 ESRI Story Maps

In the tutorials, the steps are written out and visually demonstrated with images and GIFs. The visual content in the tutorials can be found in the images sub-directory. There are also tables featured in the tutorials to guide students to particular geographies or key data to use in their write-up. The information in these tables can be found in the csv files that are included in the main directory.

View the website and all of the tutorial content here.

social-life-of-neighborhoods's People

Contributors

francine-stephens avatar

Watchers

 avatar

social-life-of-neighborhoods's Issues

Create gentrification tutorial

Tutorial needs to walk through:

  1. How to use Google Maps historical street-view images functionality to identify examples of gentrification in your neighborhood.
  2. How to map the gentrification proxies/gentrification measure and interpret them.

Coordinate parsing script

Create a script that will parse coordinates that are stored in a single column for crime data or other point datasets.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.