jamii

Specification

Out Of The Tarpit

BOOM Analytics: Exploring Data-Centric, Declarative Programming for the Cloud

Dedalus: Datalog in Time and Space

Logic and Lattices for Distributed Programming

briantjacobs

Storytelling from Space: Tools/Resources

This list of resources is all about acquring and processing aerial imagery. It's generally broken up in three ways: how to go about this in Photoshop/GIMP, using command-line tools, or in GIS software, depending what's most comfortable to you. Often these tools can be used in conjunction with each other.

Acquiring Landsat & MODIS

Web Interface

• USGS Earth Explorer - Browser and data access (create a login)
  http://earthexplorer.usgs.gov/

• Landsat archive

dannguyen

Find out who Congress follows on Twitter using the command line

Part of a lesson for the Stanford Journalism Computational Methods in the Civic Sphere

This is a short tutorial on how to use command-line tools, including csvfix and t, the command-line Twitter interface, to access and parse data from the Sunlight Foundation and Twitter. The end goal of this exercise is to gather who everyone in Congress follows (friends, in the parlance of Twitter), and then count up the common friends to find out which Twitter accounts are most followed by members of Congress.

Here's a screenshot of the result, after it's been imported into [Google Spreadsheets](https://docs.google.com/spreadsheets/d/1cjRJyrPYj8KAhUrot8ubPOWgbAwm0OqIgPtsswJ2sjM/edit#gid=1358907576

Rich-Harris

Stuff I wish I'd known sooner about service workers

I recently had several days of extremely frustrating experiences with service workers. Here are a few things I've since learned which would have made my life much easier but which isn't particularly obvious from most of the blog posts and videos I've seen.

I'll add to this list over time – suggested additions welcome in the comments or via twitter.com/rich_harris.

Use Canary for development instead of Chrome stable

Chrome 51 has some pretty wild behaviour related to console.log in service workers. Canary doesn't, and it has a load of really good service worker related stuff in devtools.

gka

var multiCrowbar = (function() {
    /*
     * SVG Export
     * converts html labels to svg text nodes
     * will produce incorrect results when used with multi-line html texts
     *
     * Author: Gregor Aisch
     * based on https://github.com/NYTimes/svg-crowbar/blob/gh-pages/svg-crowbar-2.js
     */

nvictus

// Client-side parser for .npy files
// See the specification: http://docs.scipy.org/doc/numpy-dev/neps/npy-format.html
var NumpyLoader = (function () {
    function asciiDecode(buf) {
        return String.fromCharCode.apply(null, new Uint8Array(buf));
    }

    function readUint16LE(buffer) {
        var view = new DataView(buffer);
        var val = view.getUint8(0);

bclinkinbeard

module.exports = {
  server: '.',
  files: [
    '*.html',
    'src/*'
  ],
  ui: false,
  notify: false
};

halhen

# data from http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostat
# Originally seen at http://spatial.ly/2014/08/population-lines/

# So, this blew up on both Reddit and Twitter. Two bugs fixed (southern Spain was a mess,
# and some countries where missing -- measure twice, submit once, damnit), and two silly superflous lines removed after
# @hadleywickham pointed that out. Also, switched from geom_segment to geom_line.

# The result of the code below can be seen at http://imgur.com/ob8c8ph

library(tidyverse)

ramnathv

# Using concaveman in R using V8
concaveman <- function(d){
  library(V8)
  ctx <- v8()
  ctx$source('https://www.mapbox.com/bites/00222/concaveman-bundle.js')
  jscode <- sprintf(
    "var points = %s;var polygon = concaveman(points);", 
    jsonlite::toJSON(d, dataframe = 'values')
  )
  ctx$eval(jscode)

mikolalysenko

const regl = require('regl')({
  extensions: 'OES_texture_float'
})

const LAPLACIAN_SHADER = `
vec4 laplacian (sampler2D img, vec2 id, float DX) {
  return -texture2D(img, id) + 0.25 * (
    texture2D(img, id + DX * vec2(-1, 0))
    + texture2D(img, id + DX * vec2(1, 0))
    + texture2D(img, id + DX * vec2(0, -1))