This is an example of a choropleth map. From the map we can see the percent of teeth that have been extracted due to tooth decay or gum disease for 2006, 2008 and 2010. A large percent of teeth extractions occurred in southern states indicated by the counties in red compared to Western states indicated by the counties in yellow.
Interestingly, the South is known for having poorer health outcomes and higher rates of chronic disease. Maps like this allow for this information to be displayed in a picture.
These maps from 2010 show the availability of grocery store locations and also the percentage of people who had a car to get there. The topic of food availability is already an interesting conversation.. is there enough food? Is there enough food, but it just isn’t distributed evenly? Why is healthy food more expense then unhealthy? Why has food become more of a business then of a way to survive? Take a look at these maps, because they bring another problem into the mix! Transportation and accessibility.
The information for the maps was collected from the USDA Food Environment Atlas and the maps were created by Meharry Medical College.
Take a look at this interesting map we made on Mappler in collaboration with Planning Communities! The map is full of GIS layers that you can toggle to show various information such as crime, food, recreation, transit, and URISA health data in DC. The picture below shows URISA data marking sidewalks, intersections, homeless locations, and garbage. Visit the map to view all the data ! nj.mapplerx.com/map/urisahealth
Climate change is always a hot topic, literally. With the melting of the ice caps, the unstable polar vortex which influences the jet stream, and with temperatures becoming more extreme, it is no mystery that sea level is continuing to rise. We wanted to visualize the threat of sea level rise by making a map that shows the potential projections of how our coasts in New Jersey and New York could eventual look.
We zoomed in to focus on New York City and the Northeastern part of the New Jersey coastline. We gathered the information for sea level rise from usgs.gov and then created the map using our Mappler technology. The first image is what the coast currently looks like, with the second and third images showing possible sea level rise projections. Image 2 shows sea level rise projections for 2100 if climate change continues without us taking action. This projection shows a 2m rise, with the dark blue border showing the potential new coastline. Image 3 is the worse case scenario for the year 2100, meaning that this is what scientists are projecting if again no action towards stopping or slowing climate change takes place and if the Greenland ice sheet melts. Image 3 shows a 7m sea level rise, and as you can see the land taken is massive. These maps show the scary reality that we could face if climate change is not taken seriously. You think that the population and its growth are bad now? How about when we then have to face displacement of part of the population because land where they use to live is covered in water? Take action, educate on climate change, and do your part!
To see the map and view more of the NJ and NY coast projections click here!
Trees help city areas with reducing pollution, they help to improve health, and overall bring a sense of calm to a place known for fast-pace living. Here is a map we created on Mappler using data from the TreesCount! 2015 by the NYC Department of Parks and Recreation. This map is color-coded based on condition of the trees.
Looking at the density screenshot, it is interesting to view where the best versus worst rated trees are located. The photo on the left shows where the worst rated trees are, and the right shows the trees rated as the best. Lets keep adding trees to our concrete jungle! Click here to see the site.
It seems logical that the more money you have, the longer you would be expected to live. This would be because you can afford better healthcare, maintain a healthier lifestyle, have access to better nutrition, and probably have less stress when it comes to day-to-day life because you are financially stable. The New York Times recently released an article that affirmed this thought, but also gave an eye-opening spin on the life expectancy of the poor based on where they live, showing that cities like LA and New York the life expectancy of those under the poverty line is higher then other cities in the US.
Health plays a significant role in the life span of a human, which seems obvious but when you look at the numbers, it can be shocking. The Journal of the American Medical Association states that the richest men live 15 years longer then the poorest 1 percent. So why do the poor living in cities like Las Vegas, Indianapolis, Dayton, and Tulsa to name a few, have lower life expectancies? David M. Cutler who is a economist at Harvard explains that a lot of cities with the lowest life expectancy for the poor fall into the “drug overdose belt”. Other explanations are just the availability to clinics and health education. Increasing health resources would slowly help to increase life expectancy in cities with the lowest life spans.
Take a look at the map from the NYT and see where your area compares. Looking at where you live, do you think your area provides enough health resources for those who can’t afford it?
All information for this post is from an article by The New York Times.
This map put out by the CDC, shows the most distinctive causes of death in the United States. This map is colored coded to be easier to read and as you can see the key below the map shows what the cause of death is. There are interesting limitations to keep in mind while looking at the map. On the CDC site they explain “A limitation of this map is that it depicts only 1 distinctive cause of death for each state. All of these were significantly higher than the national rate, but there were many others also significantly higher than the national rate that were not mapped. The map is also predisposed to showing rare causes of death — for 22 of the states, the total number of deaths mapped was under 100. Using broader cause-of-death categories or requiring a higher threshold for the number of deaths would result in a different map. These limitations are characteristic of maps generally and are why these maps are best regarded as snapshots and not comprehensive statistical summaries” (cdc.gov). To take a closer look at the map and read the background of the project go to cdc.gov.
all information from cdc.gov. click here to see the site. contact firstname.lastname@example.org.