Stratasan is honored to be a part of this year's The Health Datapalooza event put on by Todd Park and the Community Health Data Initiative. Come check us out June 5-6 in D.C. as we demo the power of healthcare data visualization.
This post is the fourth in a five-part series (I. Projection, II. Base Maps, III. Color Selection, IV. Symbology, and V. Legends) which will look at various GIS tools and methodologies utilized by Stratasan.
In this post we will discuss different types and styles of symbologies used in our maps at Stratasan. Symbology is the combination of the color, shape, and size of attributes on a map. It is critically important in polygon, line, and point layers. Symbology is quintessential in making a map readable and in helping the information on the map be interpreted both easily and quickly. The symbology of attribute labels helps the map reader understand what locations are important and which locations are most significant. Without proper symbology, a great map can become completely useless.
Welcome back to Stratasan for our April-May edition of The State Data Release map. Many states including Arizona and Nevada are now current through 2011 and on the leading edge of data release. May is also a month with several Federal Data releases from the Center for Medicare Services and the Center for Disease Control. This map has all the states that released data in April and have scheduled releases in May.
After 85 years of service, Marian Community Hospital in Carbondale, Pennsylvania, closed its doors on February 28th, 2012. The hospital employed 200 people in this small community of 14,000 located in Lackawanna County. This hospital did not close because there is a lack of healthcare need in Carbondale. The Health Resources and Services Administration currently classifies Lackawanna County as medically underserved and Stratasan predicts there will be 69,354 hospital visits in Carbondale this year. Marian Community Hospital is a part of a growing trend in America: hospital closures in spite of a growing need for healthcare.
On April 3rd, The Robert Wood Johnson Foundation with The University of Wisconsin released the 3rd annual County Health Rankings. Healthcare professionals, academics, and curious citizens are sifting through more than 30 categories of data collected on nearly every county for 2012. At Stratasan, we decided to do our first analysis on obesity. Coming with little surprise, the West has the fewest obese people while the South continues to have the highest levels of obesity in the country. However, this is only part of the story. Just like the new County Health Rankings feature, Roadmaps, the South is traveling in the right direction.
This post is the third in a five-part series (I. Projection, II. Base Maps, III. Color Selection, IV. Symbology, and V. Legends) which will look at various GIS tools and methodologies utilized by Stratasan.
In this post we will discuss the colors and color schemes we use in our maps at Stratasan. Color is an important part of any map. It helps the map reader understand what is being presented, helps separate and organize different attributes, and draws the reader into the cartographic presentation.
While Americans debate how to pay for the rising cost of future healthcare, how are we currently paying for America’s $2.6 trillion healthcare bill? According to the Center for Medicare & Medicaid Services (CMS) 2010 data, $849 billion was paid by private insurance companies covering 188 million people, $938 billion was paid by CMS covering 73 million people, and Americans paid an additional $300 billion out-of-pocket for their healthcare.
This post is the second in a five-part series (I. Projection, II. Base Maps, III. Color Selection, IV. Symbology, and V. Legends) which will look at various GIS tools and methodologies utilized by Stratasan.
In this second entry we will discuss our uses for different base map layers in our GIS-based products.