Tom Lee sbma44

How OpenAddresses Organizes the World's Address Data

Location search relies upon address data, which links latitude and longitude coordinates like 38.8976,-77.0365 to human-readable addresses like 1600 Pennsylvania Avenue. This is an important but underappreciated type of geodata, and one that existing open data projects like OpenStreetMap have had limited success at collecting.

Many governments publish address data, but they do so in different ways. The data can be distributed as a Shapefile, CSV, KML, ZIP or GeoJSON file, or via an API. It can be presented in a variety of different geographic projections and character encodings. The names of fields are not standardized: for example, longitude might be stored in a field called LONG, X, LNG or LON. The license terms associated with the data can vary. Sometimes the data points to specific houses and sometimes it is no more specific than property parcels. The data might come with useful additional fields, like ZIP code or city name. The type of

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	denon roku select 2A4C0286B430:DENON:48

	screen up http://192.168.1.4:8044/json?simple=1&pass=XHV2HFCTyi&plain=[{data:[1326,434,1276,430,1276,430,1274,432,504,1162,532,1162,534,1162,534,1166,534,1160,534,1160,1308,428,504,1160,534,1162,1308,428,506,1158,1310,430,1280,426,1280,426,506,1158,1310,426,1280,426,1280,426,506,1158,1310,430,1280,426,506,1158,1312,426,506,1160,1310,424,508,1158,536,1158,1310,29652,1312,424,1282,424,1282,424,1284,424,506,1160,536,1158,536,1158,536,1160,536,1160,534,1160,1314,424,508,1158,534,1160,1310,424,506,1160,1312,426,1282,422,1282,424,506,1160,1310,424,1282,424,1282,424,506,1158,1312,428,1282,424,506,1158,1312,424,508,1156,1312,424,508,1160,536,1156,1312],type:'raw',khz:38}]
	screen down http://192.168.1.4:8044/json?simple=1&pass=XHV2HFCTyi&plain=[{data:[1292,442,1266,438,1268,440,1266,440,492,1204,490,1204,492,1204,490,1210,490,1206,1264,440,492,1206,490,1204,490

	# sample invocation:
	# pdftotext -f 5 /tmp/The_Complete_Works_of_H.P._Lovecraft.pdf - \| python3 horror.py \| uniq > lovecraft_word_pairs_sorted.txt

	import re
	import sys
	import nltk
	import wordfreq

	re_word = re.compile(r'[^\-\w]')

	(function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(require,module,exports){
	mapboxgl.accessToken = 'pk.eyJ1Ijoic2JtYTQ0IiwiYSI6Inh1cm5teEEifQ.LFnEfmyK7mtxU5O64ID4ZA';
	var fccData = require('./vzn_fios.json');
	var active = 'December 2016';
	var map = new mapboxgl.Map({
	container: 'map',
	style: 'mapbox://styles/sbma44/cjd3amkei45zc2rp6oon0rk2t',
	hash: true,
	center: [ -77.029, 38.905 ],
	zoom: 11.4

	PREFIX wd: <http://www.wikidata.org/entity/>
	PREFIX wdt: <http://www.wikidata.org/prop/direct/>
	SELECT ?flag ?seal ?coatofarms ?population ?website ?anthem ?article
	WHERE {
	OPTIONAL { ?location wdt:P1082 ?population . }
	OPTIONAL { ?location wdt:P41 ?flag . }
	OPTIONAL { ?location wdt:P94 ?coatofarms . }
	OPTIONAL { ?location wdt:P158 ?seal . }
	OPTIONAL { ?location wdt:P856 ?website }
	OPTIONAL { ?location wdt:P85 ?anthem . }