Stamp Out COVID-19
An apple a day keeps the doctor away.
SNAP Participation Rates, was explored and analysed on ArcGIS Pro, the results of which can help decision makers set up further SNAP-D initiatives.
In the USA foods are stored in every State and U.S. territory and may be used by state agencies or local disaster relief organizations to provide food to shelters or people who are in need.
US Food Stamp Program has been Extended
The Supplemental Nutrition Assistance Program, SNAP, is a State Organized Food Stamp Program in the USA and was put in place to help individuals and families during this exceptional time. State agencies may request to operate a Disaster Supplemental Nutrition Assistance Program (D-SNAP) .
D-SNAP Interactive Dashboard
Almost all States have set up Food Relief Programs, in response to COVID-19.
Scroll Down to Learn more about the SNAP Participation Analysis & Results
SNAP Participation Analysis
Initial results of yearly participation rates to geography show statistically significant trends, to get acquainted with the results, explore the following 3D Time Cube Map:
Visualize A Space Time Cube in 3D
WORKFLOW: a space-time cube was generated as a netCDF structure with the ArcGIS Pro Space-Time Mining Tool : Create a Space Time Cube from Defined Locations , other tools were then used to incorporate the spatial and temporal aspects of the SNAP County Participation Rate Feature to reveal and render statistically significant trends about Nutrition Assistance in the USA.
Hot Spot Analysis
Explore the results in 2D or 3D.
2D Hot Spots
WORKFLOW: Hot Spot Analysis, with the Hot Spot Analysis Tool shows that there are various trends across the USA for instance the Southeastern States have a mixture of consecutive, intensifying, and oscillating hot spots.
3D Hot Spots
These trends over time are expanded in the above 3D Map, by inspecting the stacked columns you can see the trends over time which give result to the overall Hot Spot Results.
Not all counties have significant trends, symbolized as Never Significant in the Space Time Cubes.
Space-Time Pattern Mining Analysis
The North-central areas of the USA, have mostly diminishing cold spots.
2D Space-Time Mining
WORKFLOW: Analysis, with the Emerging Hot Spot Analysis Tool shows that there are various trends across the USA for instance the South-Eastern States have a mixture of consecutive, intensifying, and oscillating hot spots.
Results Show
The USA has counties with persistent malnourished populations, they depend on Food Aide.
3D Space-Time Mining
In addition to obvious planning for consistent Hot-Hot Spot Areas, areas oscillating Hot-Cold and/or Cold-Hot Spots can be identified for further analysis to mitigate the upward trend in food insecurity in the USA, since 2009 which has become even worse since the outbreak of the COVID-19 pandemic.
After Notes:
(i) The Johns Hopkins University has an Interactive Dashboard of the Evolution of the COVID-19 Pandemic.
Coronavirus COVID-19 (2019-nCoV)
(ii) Since March 2020 in a Response to COVID-19, SNAP has had to extend its benefits to help people in need. The Food Relief is coordinated within States and by local and voluntary organizations to provide nutrition assistance to those most affected by a disaster or emergency.
Food Relief has been extended, reach out to your state SNAP office, if you are in need.
(iii) Follow these Steps to build an ArcGIS Pro StoryMap:
Step 1: [Get Data][Open An ArcGIS Pro Project][Run a Hot Spot Analysis][Review analysis parameters][Interpret the results][Run an Outlier Analysis][Interpret the results]
Step 2: [Open the Space-Time Pattern Mining 2 Map][Create a space-time cube][Visualize a space-time cube in 2D][Visualize a space-time cube in 3D][Run a Local Outlier Analysis][Visualize a Local Outlier Analysis in 3D
Step 3: [Communicate Analysis][Identify your Audience & Takeaways][Create an Outline][Find Images][Prepare Maps & Scenes][Create a New Story][Add Story Elements][Add Maps & Scenes] [Review the Story][Publish & Share]
