3229 search results for "map"

How to Predict Where Will Next Disaster Strike?

January 18, 2015
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How to Predict Where Will Next Disaster Strike?

It is amusing coincidence that another MOOC that I took this week (Geospatial Intelligence & the Geospatial revolution) mentioned disasters. About the other course see my recent Disasters: Myth or the Reality post.In Geospatial Intelligence they gave a weird assignment: one need to mark the location on the world map where...

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New updates to the rNOMADS package and big changes in the GFS model

January 16, 2015
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New updates to the rNOMADS package and big changes in the GFS model

I rolled out a big update to the rNOMADS package in R about two weeks ago.  Now, the list of real time weather, ocean, and sea ice models available through rNOMADS updates automatically by scraping the NOMADS web site.  This way, changes in model inventories will be instantly reflected in rNOMADS without the need for

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New updates to the rNOMADS package and big changes in the GFS model

January 16, 2015
By
New updates to the rNOMADS package and big changes in the GFS model

I rolled out a big update to the rNOMADS package in R about two weeks ago.  Now, the list of real time weather, ocean, and sea ice models available through rNOMADS updates automatically by scraping the NOMADS web site.  This way, changes in model inventories will be instantly reflected in rNOMADS without the need for

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Drug Crime Density in Boston

January 15, 2015
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Drug Crime Density in Boston

The original map can be found in my previous post, Spatial Data Visualization with R. As a review, I use get_map function in the ggmap package to grab a map of Boston from Google Maps. The “crime report” data can be found at https://data.cityofboston.gov/. In the code below, I bring in crime data as a csv file. The data … Continue reading...

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Drug Crime Density in Boston

January 15, 2015
By
Drug Crime Density in Boston

The original map can be found in my previous post, Spatial Data Visualization with R. As a review, I use get_map function in the ggmap package to grab a map of Boston from Google Maps. The “crime report” data can be found at https://data.cityofboston.gov/. In the code below, I bring in crime data as a csv file. The data … Continue reading...

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Speed Cameras: Revenue or Public Safety? We’ll get you up to speed in a Flash!

January 14, 2015
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Speed Cameras: Revenue or Public Safety? We’ll get you up to speed in a Flash!

Goals and Introduction Are speed cameras a tool increase safety? Or a revenue grab by local governments plugging budget deficits? With the implementation of a speed

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Secure your Shiny apps (against SQL injection)

January 12, 2015
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Shiny takes inputs from UI elements and sends them to the server, where the application...

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Some Applications of Item Response Theory in R

January 11, 2015
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Some Applications of Item Response Theory in R

The typical introduction to item response theory (IRT) positions the technique as a form of curve fitting. We believe that a latent continuous variable is responsible for the observed dichotomous or polytomous responses to a set of items (e.g., multipl...

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New R Package: cdcfluview — Retrieve Flu Data from CDC’s FluView Portal

January 10, 2015
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New R Package: cdcfluview — Retrieve Flu Data from CDC’s FluView Portal

Towards the end of 2014 I had been tinkering with flu data from the CDC’s FluView portal since flu reports began to look like this season was going to go the way of 2009. While you can track the flu over at The Washington Post, I like to work with data on my own. However

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Interactive visualizations with R – a minireview

January 9, 2015
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2015-01-10 00_34_37-Clipboard

Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript. In this post I have reviewed...

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