| { | |
| "timestamp": "Wed Feb 11 16:10:24 EST 2015", | |
| "goalie": [ | |
| { | |
| "position": "Goalie", | |
| "id": 8475883, | |
| "twitterURL": "https:\/\/twitter.com\/f_andersen30", | |
| "weight": 236, | |
| "height": "6' 3\"", | |
| "imageUrl": "http:\/\/3.cdn.nhle.com\/photos\/mugs\/8475883.jpg", |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset=utf-8 /> | |
| <title>Tiles as Canvas Images in Leaflet</title> | |
| <meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' /> | |
| <!-- Load Leaflet from CDN--> | |
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/leaflet/0.7.7/leaflet.css" /> |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset=utf-8 /> | |
| <title>Tiles as Canvas Images in Leaflet</title> | |
| <meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' /> | |
| <!-- Load Leaflet from CDN--> | |
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/leaflet/0.7.7/leaflet.css" /> |
| var decode_date = function(rgba) { | |
| // find the total days of the pixel by | |
| // multiplying the red band by 255 and adding | |
| // the green band to that | |
| var total_days = rgba[0] * 255 + rgba[1]; | |
| // take the total days value and divide by 365 to | |
| // get the year_offset. Add 15 to this (i.e 0 + 15 = 2015) | |
| // or 1 + 15 = 2016 |
| import random | |
| import time | |
| from Queue import Queue | |
| from threading import Thread | |
| print 'Starting script!' | |
| q = Queue() |
| entity_id | ksm_ref | Mill Name | Longitude | Latitude | |
|---|---|---|---|---|---|
| 1499 | KSM1439 | Murini Sam-Sam 2 (Pelintung) | 101.593 | 1.5848 | |
| 1429 | KSM1008 | PT MUSTIKA AGUNG SAWIT SEJAHTERA Jl | 101.2424 | 1.29 | |
| 1473 | KSM1380 | Sawit Anugrah Sejahtera | 101.2767 | 1.1517 |
| import overpass | |
| import csv | |
| import sys | |
| api = overpass.API(timeout=900) | |
| coords = [] | |
| with open('bbox.csv') as theFile: | |
| csvReader = csv.reader(theFile) | |
| csvReader.next() |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset=utf-8 /> | |
| <title>Filtering Pixels in Leaflet</title> | |
| <meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' /> | |
| <!-- Load Leaflet from CDN--> | |
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/leaflet/0.7.7/leaflet.css" /> | |
| <script src="https://cdn.jsdelivr.net/leaflet/0.7.7/leaflet.js"></script> |
| import os | |
| import csv | |
| import pandas as pd | |
| def main(): | |
| header_list = ['biome', 'iso', 'adm1', 'adm2', 'year', 'thresh', 'area_raw', 'emissions_raw'] | |
| print 'Reading df' |
On an ubuntu machine or mac, install the following:
Install docker: https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-16-04
Install docker compose: https://www.digitalocean.com/community/tutorials/how-to-install-docker-compose-on-ubuntu-16-04