Cex nyc queens


Here, create the first cex nyc queens mapping the coordinates to filled circles, sized by the proportion of customers without power. To provide some reference, I overlay the borders of the NYC boros. These maps are for all levels of damage. You can restrict to and explore the different levels of cex nyc queens and damage using indexing and the faceting capabilities of ggplot2. Now print the map.

The map itself is ultimately unsatisfactory for a number of reasons, the most important of which is that the cex nyc queens come from Con Edison, which does not service the hard-hit areas of the Rockaways. To provide some reference, I overlay the borders of the NYC boros. Here, create the first layer mapping the coordinates to filled circles, sized by the proportion of customers without cex nyc queens. First, I establish the base layer of points.

The following code maps FEMA surveillance cex nyc queens on housing damage and inundation and power outages in New York City a week after the storm touched down. You can restrict to and explore the different levels of inundation and damage using indexing and the faceting capabilities of ggplot2. Those data must be obtained from the Long Island Power Authority LIPA whose online data are questionable at best some townships show more power cex nyc queens than there are customers…. Overlay the locations of the points themselves, coloring them red, and blurring overlaid points with the alpha function.

These maps are for all levels of damage. First prepare the data by reading in the csv files, merging the outage data with the centroids for the places, assigning a coordinate system and projection, restricting to New York City and converting to a data frame for plotting in ggplot2. Now print the map. First I use the cex nyc queens method to convert the shape files to a data cex nyc queens for use with ggplot2.

You can restrict to and explore the cex nyc queens levels of inundation and damage using indexing and the faceting capabilities of ggplot2. First, I establish the base layer of points. Here is some epidemiologic surveillance in the form of mapping housing damage and power outages in New York City.

Here, create the first layer mapping the coordinates to filled circles, sized by the proportion of customers without power. To provide some reference, I overlay the borders of the NYC boros. The following bits of code demonstrate how cex nyc queens plot the points, cex nyc queens then develop a density map from points. The map itself is ultimately unsatisfactory for a number of reasons, the most important of which is that the data come from Con Edison, which does not service the hard-hit areas of the Rockaways. You can restrict to and explore the different levels of inundation and damage using indexing and the faceting capabilities of ggplot2.

The following code will create a bubble plot of outage areas based on data one week after the storm. Cex nyc queens prepare the data by reading in the csv files, merging the outage data cex nyc queens the centroids for the places, assigning a coordinate system and projection, restricting to New York City and converting to a data frame for plotting in ggplot2. A full write up is here. First, I establish the base layer of points.

Here is some epidemiologic surveillance in the form of cex nyc queens housing damage and power outages in New York City. The following code will create a bubble plot of outage areas based on data one week after the storm. Those data must be obtained cex nyc queens the Long Island Power Authority LIPA whose online data are questionable at best some townships show more power restored than there are customers…. As I write this more than two weeks after the storm, with daylight hours shortening and temperatures dropping, there are still tens of thousands of people cex nyc queens the tri-state area some my neighbors without power. A full write up is here.