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Big picture

  • Currently running rails v2.0.2.
  • CMS built on Radiant CMS.
  • Deploys to BlueBox using capistrano.

Notes

  • In production the app runs with apache/passenger. Apache redirects can be defined in /sites/psrc-production/shared/htaccess. This file is symlinked to the public dir (which is the apache root) on cap deploy.

Puget Sound Regional Council's Projects

mysql icon mysql

Scripts and other complicated queries created for a variety of different projects

netbuffer icon netbuffer

A tool to perform network based queries and aggregations on land use data.

novice-r icon novice-r

Software Carpentry lessons for R language

ofm icon ofm

A collection of project scripts and snippets to query estimates from OFM

pandana icon pandana

Pandas Network Analysis - dataframes of network queries, quickly

parcel-viewer icon parcel-viewer

A shiny app to locate and view attributes of UrbanSim parcels

psef-forecast icon psef-forecast

dashboard to display Puget Sound Economic Forecaster data within PSRC

psrc.travelsurvey icon psrc.travelsurvey

Package - Functions to pull, process and visualize PSRC's Household Travel Survey data for geographies in the Central Puget Sound Region.

psrccensus icon psrccensus

A set of tools developed for PSRC staff to pull, process and visualize Census Data for geographies in the Central Puget Sound Region.

psrccensus-explorer icon psrccensus-explorer

A Census Tool via Shiny for exploring and visualizing Census and ACS data for jurisdictions in and around PSRC.

psrcctpp icon psrcctpp

Tools to utilize Census Transportation Planning Package (CTPP) data via the AASHTO API.

psrcelmer icon psrcelmer

R utilities for interacting with Elmer and ElmerGeo

psrcplot icon psrcplot

Package for Creating PSRC consistent data visualizations with R

psrcrtp icon psrcrtp

Package for processing data for the RTP Dashboard

psrcslides icon psrcslides

Package to create PSRC PowerPoint Slides using R

psrctrends icon psrctrends

Package for processing various data sets used in PSRC trends using R

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