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

chrowe

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

chrowe

#!/bin/bash

SET=35
echo "$SET" > "./set.txt"

IN=`/data/opk-1-wire-cli/pull -p 041471b7f4ff -s f -r`
OUT=`/data/opk-1-wire-cli/pull -p 041471b95dff -s f -r`

#echo "IN = "$IN
#echo "OUT = "$OUT

chrowe

# 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

chrowe

# 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

chrowe

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

chrowe

## 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

chrowe

Install

Raspberry Pi B1+

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

👍

Hello world

chrowe

Host system: MacOS 10.12.2

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

chrowe