24 April, 2015
We can scrape the morel sightings postings to get approximate location and dates.
But what else?
sightings \(\sim\) temperature \(+\) spectral data \(+ \cdots\)
Plot our fanciful morel model prediction for March 6 of this year (2015) with leaflet. It's kind of like Zillow for foragers.
Click here to view the interactive output of this http://illposed.net/nycr2015/leaflet/
library(leaflet) ap = addTiles(leaflet()) map = setView(map, -79.4, 35.66, zoom = 7) map = add_quantile(predictions, 0.95, 0.25) map = add_quantile(predictions, 0.98, 0.25) map = add_quantile(predictions, 0.99, 0.25) map
Plot our fanciful model prediction globally for old data from last May.
Click here for an interactive version of this output http://illposed.net/nycr2015/globejs/
library(threejs) globejs(lat=x$lat, long=x$long, val=prediction, color=col, pointsize=0.5, atmosphere=TRUE)
D3.js (Mike Bostock), threejs (Ricardo Cabello a.k.a. mrdoob), …
what about us regular statisticians and economists and biologists and data scientists and foragers?
Create rich, interactive visualizations,
written in R with simple, natural syntax,
acting like normal R graphics,
|For us scientists and statisticians:||For you viz gurus:|
|Enables cutting edge visualization using familiar tools!||Puts your libraries in the hands of lots of smart people!|
A Shiny app built with the DT and networkD3 widgets to explore rules mined by the
arules package with the apriori algorithm.
You can download this shiny app R code and run it yourself from http://illposed.net/arules_explorer.R