I hereby claim:
- I am hepplerj on github.
- I am jaheppler (https://keybase.io/jaheppler) on keybase.
- I have a public key ASDXbDTSmWJiyDZ6URLp6rKUdG-84IRsPjYEJWYog7YOcgo
To claim this, I am signing this object:
| var http = require('http'); | |
| function handler(req, res) { | |
| res.writeHead(200, {'Content-Type': 'text/plain'}); | |
| res.end('Hello world\n'); | |
| } | |
| http.createServer(handler).listen(3000, '127.0.0.1'); | |
| http.createServer(handler).listen(3001, 'localhost'); | |
| http.createServer(handler).listen(3002, '127.0.0.1'); // ifconfig | |
| http.createServer(handler).listen(3003, 'host.example.com'); // echo $HOSTNAME |
| # Install subversion | |
| sudo apt-get -y install subversion | |
| # Install g++ | |
| sudo apt-get -y install g++ | |
| # Install Hierarchical Data Format library | |
| sudo apt-get -y install libhdf4-alt-dev | |
| # Get trunk of gdal |
| # Bulk convert shapefiles to geojson | |
| function shp2geojson() { | |
| ogr2ogr -f GeoJSON -t_srs crs:84 "$1.geojson" "$1.shp" | |
| } | |
| for var in *.shp; do shp2geojson ${var%\.*}; done |
I hereby claim:
To claim this, I am signing this object:
Testing topojson.merge to merge multiple polygons into a single polygon.
| <!DOCTYPE html> | |
| <svg width="960" height="500"><g transform="translate(360,250)"></g></svg> | |
| <script src="https://d3js.org/d3.v4.min.js"></script> | |
| <script> | |
| var formatPercent = d3.format(".0%"), | |
| formatNumber = d3.format(".0f"); | |
| var threshold = d3.scaleThreshold() | |
| .domain([0.11, 0.22, 0.33, 0.50]) |
Using WMS in web maps.
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <!-- D3.js --> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js" charset="utf-8"></script> | |
| <!-- Google fonts --> | |
| <link href='https://fonts.googleapis.com/css?family=Cardo:400,400italic,700' rel='stylesheet' type='text/css'> |
| # Superfund sites CSV | |
| calif_superfund_sites <- read.csv("./data/calif_superfund_sites.csv") | |
| # We'll clean up the Superfund data a bit, selecting only | |
| # the columns we want to keep. | |
| calif_superfund_sites <- calif_superfund_sites %>% | |
| select(NAME, CITY,STATE,ZIP,LONGITUDE,LATITUDE,STATUSDATE,HRS_SCORE) | |
| # Let's filter out California sites. | |
| calif_superfund_sites <- subset(calif_superfund_sites, | |
| STATE %in% "CA") | |
| # Convert the date into an R friendly version. |