This is a short follow up on THIS posting.. I will briefly show how to use the dismo- and the googeVis package to plot species occurrences on an interactive Google map, like the one below (HERE is the R-script)
Big Data, R and SAP HANA: Analyze 200 Million Data Points and Later Visualize in HTML5 Using D3 – Part III
Mash-up Airlines Performance Data with Historical Weather Data to Pinpoint Weather Related DelaysFor this exercise, I combined following four separate blogs that I did on BigData, R and SAP HANA. Historical airlines and weather dat...
Big Data, R and HANA: Analyze 200 Million Data Points and Later Visualize Using Google Maps
Technologies: SAP HANA, R, HTML5, D3, Google Maps, JQuery and JSONFor this fun exercise, I analyzed more than 200 million data points using SAP HANA and R and then brought in the aggregated results in HTML5 using D3, JSON and Google Maps APIs. Th...
Geocode and reverse geocode your data using, R, JSON and Google Maps’ Geocoding API
Geocode and reverse geocode your data using, R, JSON and Google Maps' Geocoding APITo geocode and reverse geocode my data, I use Google's Geocoding service which returns the geocoded data in a JSON. I will recommend that you register with Google Maps A...
Geocode your data using, R, JSON and Google Maps’ Geocoding APIs
Over the last year and half, I have faced numerous challenges with geocoding the data that I have used to showcase my passion for location analytics. In 2012, I decided to take thing in my control and turned to R. Here, I am sharing a simpl...
Producing Google Map Embeds with R Package googleVis
(1) for producing html code for a Google Map with R-package googleVis do something like: library(googleVis)df <- data.frame(Address = c("Innsbruck", "Wattens"), Tip = c("My Location 1", "My Location 2"))mymap <- gvisMap(df, "Addre...
..A Quick Geo-Trick for GoogleMaps in R (using dismo)
... I thought this geocoding-bit might be worth to share (found HERE when searching the web for dismo-documentation).Read more »
BioStar users (of the world, unite)
Egon writes: Can someone please plot the BioStar users on a Google Map? Sounds like a challenge. Let’s go. 1. Harvesting user IP addresses BioStar user profiles (here’s mine) include a location field. It’s free text and optional, which means that location is missing or inaccurate for many users. However, if you’re logged into BioStar 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
