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/* Our API takes queries like https://api.dev.climatetrace.org/v0/assets?sectors=steel&limit=40&year=2020 and returns geojson with point features */ | |
/* We need to loop through every available sector and concatenate all of the features together into one large GeoJSON file called top40_allsectors.geojson */ | |
/* Available sectors are: [{"SectorId":1,"SectorName":"solid-waste-disposal"},{"SectorId":2,"SectorName":"manure-management"},{"SectorId":3,"SectorName":"oil-and-gas-production-and-transport"},{"SectorId":4,"SectorName":"coal-mining"},{"SectorId":5,"SectorName":"cement"},{"SectorId":6,"SectorName":"electricity-generation"},{"SectorId":7,"SectorName":"oil-and-gas-refining"},{"SectorId":8,"SectorName":"aviation"},{"SectorId":9,"SectorName":"international-aviation"},{"SectorId":10,"SectorName":"copper-mining"},{"SectorId":11,"SectorName":"shipping"},{"SectorId":12,"SectorName":"iron-mining"},{"SectorId":13,"SectorName":"bauxite-mining"},{"SectorId":14,"SectorName":"domestic-aviation"},{"SectorId":15,"SectorNam |
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<template> | |
<section class="hero-map-container ba b--white bw2 bw3-l" ref="root"> | |
<div id="map" class="w-100 vh-100 z-1 top-0" ref="mapRoot"></div> | |
<div ref="mapText" class="map-text relative z-999 ml5-l measure"> | |
<p data-lat="35.102215" data-lng="-89.999185">TK 1</p> | |
<p | |
data-lat="35.12587" | |
data-lng="-90.0362" |
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const fs = require('fs'); | |
const axios = require('axios'); | |
const apiKey = 'X'; | |
const apiKeySecret = 'X'; | |
const bearerToken = | |
'X'; | |
// go through all tweets and add tags using openAI | |
const { Configuration, OpenAIApi } = require('openai'); |
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{ | |
"global": { | |
"red": { | |
"value": "#E60D4E", | |
"type": "color" | |
}, | |
"blue": { | |
"value": "#0D7EE6", | |
"type": "color" | |
}, |
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setWidthAndHeight() { | |
const cs = getComputedStyle(this.$el) | |
const paddingX = parseFloat(cs.paddingLeft) + parseFloat(cs.paddingRight) | |
const paddingY = parseFloat(cs.paddingTop) + parseFloat(cs.paddingBottom) | |
const borderX = | |
parseFloat(cs.borderLeftWidth) + parseFloat(cs.borderRightWidth) | |
const borderY = | |
parseFloat(cs.borderTopWidth) + parseFloat(cs.borderBottomWidth) |
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// CLEAR DATA | |
MATCH (n:Officer) DETACH delete n; | |
MATCH (n:Incident) DETACH delete n; | |
MATCH (n:Precinct) DETACH delete n; | |
MATCH (n:Penalty) DETACH delete n; | |
// SET CONSTRAINTS | |
CREATE CONSTRAINT officerIdConstraint ON (officer:Officer) ASSERT officer.id IS UNIQUE | |
CREATE CONSTRAINT incidentIdConstraint ON (incident:Incident) ASSERT incident.id IS UNIQUE | |
CREATE CONSTRAINT precinctIdConstraint ON (precinct:Precinct) ASSERT precinct.id IS UNIQUE |
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// clear data | |
MATCH (n:Officer) delete n; | |
MATCH (n:Incident) delete n; | |
MATCH (n:Precinct) delete n; | |
MATCH (n:Penalty) delete n; | |
CREATE CONSTRAINT officerIdConstraint ON (officer:Officer) ASSERT officer.id IS UNIQUE |
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Parsed Date | happiness | total | social | energy | wellness | |
---|---|---|---|---|---|---|
2019-07-10 | 48.25351918 | 83.88230576 | 97.03125003 | 148.7255695 | 238.6566667 | |
2019-07-11 | 149.6123334 | 98.34205408 | 185.3835502 | 94.47351362 | 249.3607796 | |
2019-07-12 | 151.5025529 | 100 | 181.2305023 | 131.2680142 | 335.0919097 | |
2019-07-13 | 104.975604 | 76.02830081 | 130.5435739 | 24.72176457 | 93.05885718 | |
2019-07-14 | 106.9930615 | 79.22556595 | 70.54415526 | 50.38911631 | 176.7435962 | |
2019-07-15 | 48.49782752 | 69.34323403 | 134.5885842 | 49.3129526 | 116.4604166 | |
2019-07-16 | 65.89493656 | 88.01984618 | 181.9219129 | 94.17121736 | 127.9488072 | |
2019-07-17 | 65.7430037 | 87.16667812 | 133.5655477 | 91.4792567 | 234.0841979 | |
2019-07-18 | 78.91884416 | 86.8878136 | 95.92553568 | 80.09017738 | 245.2977639 |
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PImage img; // Declare a variable of type PImage | |
float yScroll = 0; | |
// float scrollAmt = 50; | |
float threshold = 127; | |
PImage destination; | |
int lines = 1; | |
int scrollStart = 768; | |
float scrollScreens; | |
int revealAmt; |