DanielJWood

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DanielJWood

https://naturalearth.s3.amazonaws.com/10m_cultural/ https://naturalearth.s3.amazonaws.com/10m_cultural/10m_cultural.zip https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_antarctic_claim_limit_lines.zip https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_antarctic_claims.zip https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_boundary_lines_disputed_areas.zip https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_boundary_lines_land.zip https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_boundary_lines_map_units.zip https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_boundary_lines_maritime_indicator.zip https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_countries.zip https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_countries_lakes.zip

DanielJWood

Putting Colleges on the Map

MapBox's OSM Sprint comes to a Campus near you

In recent weeks, the MapBox team has participated in a mapping sprint to improve areas of the world that lack coverage in OpenSteetMap. Since starting our mapping sprint, we have traced streets, buildings and parks in highly populated, under-mapped areas of the world like Mexico, Brazil, Bangkok and drought stricken West Africa

Our first major mapping push in the US has been to add building footprints to college campuses in OpenStreetMap. We prioritized building footprints because that's the place where students check in the most on Foursquare, which now uses MapBox Streets. But where to find colleges that need tracing? We figured we should find to schools where students' spend more

DanielJWood

DanielJWood

import processing

table = [2081,2081,1,570,570,2,779,779,2,957,957,2,1305,1305,2,1323,1323,2,1327,1327,2,1440,1440,2,1444,1444,2,1510,1510,2,1706,1706,2,1707,1707,2,1730,1730,2,1731,1731,2,1748,1748,2,2000,2000,2,2047,2047,2,2063,2063,2,2076,2076,2,2146,2146,2,2147,2147,2,2149,2149,2,2160,2160,2,1298,1298,3,1299,1299,3,1304,1304,3,1306,1306,3,1313,1313,3,1320,1320,3,1325,1325,3,1328,1328,3,1335,1335,3,1441,1441,3,1460,1460,3,1461,1461,3,1525,1525,3,1575,1575,3,1603,1603,3,1631,1631,3,1653,1653,3,1669,1669,3,1749,1749,3,1750,1750,3,1753,1753,3,1762,1762,3,1770,1770,3,1775,1775,3,1786,1786,3,1787,1787,3,1792,1792,3,1800,1800,3,1808,1808,3,1833,1833,3,1834,1834,3,1858,1858,3,1971,1971,3,2011,2011,3,2026,2026,3,2028,2028,3,2044,2044,3,2045,2045,3,2050,2050,3,2065,2065,3,2079,2079,3,2102,2102,3,2103,2103,3,2107,2107,3,2108,2108,3,2109,2109,3,2123,2123,3,2129,2129,3,2145,2145,3,2150,2150,3,922,922,4,955,955,4,1296,1296,4,1297,1297,4,1321,1321,4,1437,1437,4,1438,1438,4,1442,1442,4,1451,1451,4,1454,1454,4,1455,1455,

DanielJWood

table = [2081,2081,1,570,570,2,779,779,2,957,957,2,1305,1305,2,1323,1323,2,1327,1327,2,1440,1440,2,1444,1444,2,1510,1510,2,1706,1706,2,1707,1707,2,1730,1730,2,1731,1731,2,1748,1748,2,2000,2000,2,2047,2047,2,2063,2063,2,2076,2076,2,2146,2146,2,2147,2147,2,2149,2149,2,2160,2160,2,1298,1298,3,1299,1299,3,1304,1304,3,1306,1306,3,1313,1313,3,1320,1320,3,1325,1325,3,1328,1328,3,1335,1335,3,1441,1441,3,1460,1460,3,1461,1461,3,1525,1525,3,1575,1575,3,1603,1603,3,1631,1631,3,1653,1653,3,1669,1669,3,1749,1749,3,1750,1750,3,1753,1753,3,1762,1762,3,1770,1770,3,1775,1775,3,1786,1786,3,1787,1787,3,1792,1792,3,1800,1800,3,1808,1808,3,1833,1833,3,1834,1834,3,1858,1858,3,1971,1971,3,2011,2011,3,2026,2026,3,2028,2028,3,2044,2044,3,2045,2045,3,2050,2050,3,2065,2065,3,2079,2079,3,2102,2102,3,2103,2103,3,2107,2107,3,2108,2108,3,2109,2109,3,2123,2123,3,2129,2129,3,2145,2145,3,2150,2150,3,922,922,4,955,955,4,1296,1296,4,1297,1297,4,1321,1321,4,1437,1437,4,1438,1438,4,1442,1442,4,1451,1451,4,1454,1454,4,1455,1455,4,1506,1506,4,1507,

DanielJWood

API_URL='https://educationdata-stg.urban.org'

DanielJWood

count: 5,
otherMetadata:{},
keys:{
    a:"city_location",
    b:"school_type",
    c:"school_level",
    d:"lowest_grade_offered",
    e:"highest_grade_offered",
    f:"charter",
    g:"school_name",

DanielJWood

	function getRandomTitle() {
		var words = "suricate homonomous unconsiderable asphaltene sturdiness Trionyx pigmentation episcope torchlight keynoter Kharia osmose Halteridium underproduce misbecomingly compulsory zyme overdaringly Cristivomer unaffrightedly bailey septemplicate alterity sarcophagy"
		var words = words.split(" ")	
		var max = 10;
		var min = 3;
		var num = Math.floor(Math.random() * (max - min) ) + min;
		var num2 = Math.floor(Math.random() * (max - min) ) + min;
		var randTitle = "";
		for (var i = 0; i < num; i++) {
			randTitle = randTitle + " " + words[i+num2];

DanielJWood