JellisHeRo

R Spatial Analysis Notes

Spatial Analysis in R

Key Packages

• sp - defines the set of base classes for spatial data in R. Most useful for creating, converting, merging, transforming (e.g. projection), and plotting (see spplot) Spatial* objects.
• rgdal - wrapper

JellisHeRo

What follows is a technical test for this job offer at CARTO: https://boards.greenhouse.io/cartodb/jobs/705852#.WSvORxOGPUI

Build the following and make it run as fast as you possibly can using Python 3 (vanilla). The faster it runs, the more you will impress us!

Your code should:

• Download this ~2GB file: https://s3.amazonaws.com/carto-1000x/data/yellow_tripdata_2016-01.csv
• Count the lines in the file
• Calculate the average value of the tip_amount field.

JellisHeRo

# devtools::install_github("hrbrmstr/vegalite")
library(vegalite)
library(htmltools)

dat <- jsonlite::fromJSON('[
      {"a": "A","b": 28}, {"a": "B","b": 55}, {"a": "C","b": 43},
      {"a": "D","b": 91}, {"a": "E","b": 81}, {"a": "F","b": 53},
      {"a": "G","b": 19}, {"a": "H","b": 87}, {"a": "I","b": 52}
    ]')

JellisHeRo

PostgreSQL & PostGIS Cheatsheet

This is a collection of information on PostgreSQL and PostGIS for what I tend to use most often.

TOC

• Installing Postgres & PostGIS
• Using Postgres on the command line: PSQL
• Importing Data into Postgres
• Exporting Data from Postgres
• Joining Tables

JellisHeRo

This gist contains the spatial layers of colleges (point patterns and polygon features) that was used for Simon Kassel's project on wealth, inequality and higher education.

JellisHeRo

Start-of-Day Reflections

I am grateful for...

What would make today great?