Jason Heppler hepplerj

Using WMS in web maps.

Testing topojson.merge to merge multiple polygons into a single polygon.

	{
	"auto_complete_triggers":
	[
	{
	"characters": ".@",
	"selector": "source.coffee, source.litcoffee, source.coffee.md"
	}
	],
	"bibtex_file_path": "/Users/jheppler/Dropbox/acad/bib/master.bib",
	"bold_folder_labels": true,

	#!/usr/bin/env python

	import collections, pprint, re, sys
	with open(sys.argv[1],'r') as file_in:
	chars = re.sub('[\s\w!!"#$%&()*+,-./:;<=>?@^_`{\|}~\[\]\'\\\]','', file_in.read())
	counts = collections.Counter(chars)
	pprint.pprint(counts.most_common())

	# Superfund sites CSV
	calif_superfund_sites <- read.csv("./data/calif_superfund_sites.csv")
	# We'll clean up the Superfund data a bit, selecting only
	# the columns we want to keep.
	calif_superfund_sites <- calif_superfund_sites %>%
	select(NAME, CITY,STATE,ZIP,LONGITUDE,LATITUDE,STATUSDATE,HRS_SCORE)
	# Let's filter out California sites.
	calif_superfund_sites <- subset(calif_superfund_sites,
	STATE %in% "CA")
	# Convert the date into an R friendly version.

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">

	<!-- D3.js -->
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js" charset="utf-8"></script>

	<!-- Google fonts -->
	<link href='https://fonts.googleapis.com/css?family=Cardo:400,400italic,700' rel='stylesheet' type='text/css'>

	<!DOCTYPE html>
	<svg width="960" height="500"><g transform="translate(360,250)"></g></svg>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script>

	var formatPercent = d3.format(".0%"),
	formatNumber = d3.format(".0f");

	var threshold = d3.scaleThreshold()
	.domain([0.11, 0.22, 0.33, 0.50])