Chris Rowe chrowe

Mapbox GL Synced Dual Maps

The visualization demonstrates how to syncronize the state of two side-by-side Mapbox GL based maps. As the user interacts with one of the two maps, the state of the map (center position, zoom level, pitch and bearing) is dynamically copied to the second map (and vice versa). The code also demonstrates how to prevent call stack overflow due to recursive event handler triggering when the map state is updated.

The dataset is based on driver license suspensions from California DMV and East Bay Community Law Center. See prior visualization here

See the script in action at bl.ocks.org/boeric here, and fullscreen here

h2. Done

Install Linux
- Ubuntu 16.04
- Burned install image onto USB stick. Can't remember how. Probably used https://etcher.io/ on my mac.
- There were some issues getting it to boot off the USB but can't remember the exact solution but the steps in https://connorkuehl.github.io/dell-inspiron-7559-linux-guide/index.html#toc-installation might just work.
Second screen
- Just working. Only had to adjust placement in "Display" settings.
Graphics Driver
- To get going the first time https://connorkuehl.github.io/dell-inspiron-7559-linux-guide/index.html#toc-installation
Followed the GUI steps on http://www.webupd8.org/2016/06/how-to-install-latest-nvidia-drivers-in.html

Host system: MacOS 10.12.2

Started by watching https://opensource.com/life/16/2/cluster-computing-with-ansible-and-raspberry-pi
Already had Ansible installed for https://github.com/isovera/mac-setup
Used https://etcher.io/ to burn Raspian Jessie Lite onto a 4GB SD card
Enable ssh access
Use https://github.com/chrowe/ansible-pi (see readme)

Install

Raspberry Pi B1+

Started with a fresh copy of Raspian Jessie Lite from https://www.raspberrypi.org/downloads/raspbian/
Burned to 4GB SD card using https://etcher.io/
Followed https://randomnerdtutorials.com/getting-started-with-node-red-on-raspberry-pi/

👍

Hello world

Use the site.sh script to create create a directory, download a git repo, create a log directory, set up settings.local.php, create a database, chreate a vhost file, and import a db backup

The other scripts are called by site.sh

Usage: site.sh [subdomain] [git url] [New MySQL password for site] [Database backup path] [http/https]

Script asks for the MySQL Root password

	ubuntu@carto:~$ sudo docker exec -ti cartodb bash -c /cartodb/script/fill_geocoder.sh
	--2018-10-29 16:36:55-- https://s3.amazonaws.com/data.cartodb.net/geocoding/dumps/0.0.1/admin0_synonyms.sql
	Resolving s3.amazonaws.com (s3.amazonaws.com)... 52.216.86.109
	Connecting to s3.amazonaws.com (s3.amazonaws.com)\|52.216.86.109\|:443... connected.
	HTTP request sent, awaiting response... 200 OK
	Length: 130898 (128K) [application/octet-stream]
	Saving to: ‘db_dumps/admin0_synonyms.sql’

	admin0_synonyms.sql 100%[=================================================================================================>] 127.83K --.-KB/s in 0.004s

	# Home_Weather_Display.py
	#
	# This is an project for using the Grove RGB LCD Display and the Grove DHT Sensor from the GrovePi starter kit
	#
	# In this project, the Temperature and humidity from the DHT sensor is printed on the RGB-LCD Display
	#
	#
	# Note the dht_sensor_type below may need to be changed depending on which DHT sensor you have:
	# 0 - DHT11 - blue one - comes with the GrovePi+ Starter Kit
	# 1 - DHT22 - white one, aka DHT Pro or AM2302

	# Run on Windows with C:\Python27\python.exe Desktop/cr1000.py

	import requests
	import time
	from BeautifulSoup import BeautifulSoup
	url = "http://192.168.0.102/?command=dataquery&uri=dl:SOIL_MET&format=html&mode=most-recent&p1"

	def getdata():
	logger_data = [] # creat a variable to store data
	response = requests.get(url) # bring the above url in to play

	## AWS
	cd /var/lib/cassandra/
	tar -czvf /home/ubuntu/aws-data.tgz data
	scp /home/ubuntu/aws-data.tgz sw:~/

	## SW
	cd /var/lib/cassandra/
	rm -rf ./data
	tar -zxvf /root/aws-data.tgz